title string | abstract string | url string | arxiv_id string | date string | category string |
|---|---|---|---|---|---|
1st Place Solution for MOSE Track in CVPR 2024 PVUW Workshop: Complex Video Object Segmentation | Tracking and segmenting multiple objects in complex scenes has always been a challenge in the field of video object segmentation, especially in scenarios where objects are occluded and split into parts. In such cases, the definition of objects becomes very ambiguous. The motivation behind the MOSE dataset is how to cle... | https://arxiv.org/abs/2406.04600v1 | 2406.04600 | 2024-06-07 | natural-language-processing |
1st Place Solution for PSG competition with ECCV'22 SenseHuman Workshop | Panoptic Scene Graph (PSG) generation aims to generate scene graph representations based on panoptic segmentation instead of rigid bounding boxes. Existing PSG methods utilize one-stage paradigm which simultaneously generates scene graphs and predicts semantic segmentation masks or two-stage paradigm that first adopt a... | https://arxiv.org/abs/2302.02651v1 | 2302.02651 | 2023-02-06 | natural-language-processing |
1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation | Video panoptic segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. We believe that the decoupling strategy proposed by DVIS enables more effective utilization of temporal information for both "thing" and "stuff" objects. ... | https://arxiv.org/abs/2306.04091v2 | 2306.04091 | 2023-06-07 | natural-language-processing |
1st Place Solution for the 5th LSVOS Challenge: Video Instance Segmentation | Video instance segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this report, we present further improvements to the SOTA VIS method, DVIS. First, we introduce a denoising training strategy for the trainable tracker,... | https://arxiv.org/abs/2308.14392v1 | 2308.14392 | 2023-08-28 | natural-language-processing |
1st Place Solution for the UVO Challenge on Image-based Open-World Segmentation 2021 | We describe our two-stage instance segmentation framework we use to compete in the challenge. The first stage of our framework consists of an object detector, which generates object proposals in the format of bounding boxes. Then, the images and the detected bounding boxes are fed to the second stage, where a segmentat... | https://arxiv.org/abs/2110.10239v1 | 2110.10239 | 2021-10-19 | natural-language-processing |
1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation | In this technical report, we introduce our winning solution "HorizonLiDAR3D" for the 3D detection track and the domain adaptation track in Waymo Open Dataset Challenge at CVPR 2020. Many existing 3D object detectors include prior-based anchor box design to account for different scales and aspect ratios and classes of o... | https://arxiv.org/abs/2006.15505v1 | 2006.15505 | 2020-06-28 | natural-language-processing |
1st Place Solution for YouTubeVOS Challenge 2021:Video Instance Segmentation | Video Instance Segmentation (VIS) is a multi-task problem performing detection, segmentation, and tracking simultaneously. Extended from image set applications, video data additionally induces the temporal information, which, if handled appropriately, is very useful to identify and predict object motions. In this work,... | https://arxiv.org/abs/2106.06649v2 | 2106.06649 | 2021-06-12 | natural-language-processing |
1st Place Solution for YouTubeVOS Challenge 2022: Referring Video Object Segmentation | The task of referring video object segmentation aims to segment the object in the frames of a given video to which the referring expressions refer. Previous methods adopt multi-stage approach and design complex pipelines to obtain promising results. Recently, the end-to-end method based on Transformer has proved its su... | https://arxiv.org/abs/2212.14679v1 | 2212.14679 | 2022-12-27 | natural-language-processing |
1st Place Solution in Google Universal Images Embedding | This paper presents the 1st place solution for the Google Universal Images Embedding Competition on Kaggle. The highlighted part of our solution is based on 1) A novel way to conduct training and fine-tuning; 2) The idea of a better ensemble in the pool of models that make embedding; 3) The potential trade-off between ... | https://arxiv.org/abs/2210.08473v1 | 2210.08473 | 2022-10-16 | natural-language-processing |
1st Place Solution of Egocentric 3D Hand Pose Estimation Challenge 2023 Technical Report:A Concise Pipeline for Egocentric Hand Pose Reconstruction | This report introduce our work on Egocentric 3D Hand Pose Estimation workshop. Using AssemblyHands, this challenge focuses on egocentric 3D hand pose estimation from a single-view image. In the competition, we adopt ViT based backbones and a simple regressor for 3D keypoints prediction, which provides strong model base... | https://arxiv.org/abs/2310.04769v2 | 2310.04769 | 2023-10-07 | natural-language-processing |
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask | This article introduces the solutions of the team lvisTraveler for LVIS Challenge 2020. In this work, two characteristics of LVIS dataset are mainly considered: the long-tailed distribution and high quality instance segmentation mask. We adopt a two-stage training pipeline. In the first stage, we incorporate EQL and se... | https://arxiv.org/abs/2009.01559v1 | 2009.01559 | 2020-09-03 | natural-language-processing |
1st Place Solution of Multiview Egocentric Hand Tracking Challenge ECCV2024 | Multi-view egocentric hand tracking is a challenging task and plays a critical role in VR interaction. In this report, we present a method that uses multi-view input images and camera extrinsic parameters to estimate both hand shape and pose. To reduce overfitting to the camera layout, we apply crop jittering and extri... | https://arxiv.org/abs/2409.19362v2 | 2409.19362 | 2024-09-28 | natural-language-processing |
1st Place Solution of The Robust Vision Challenge 2022 Semantic Segmentation Track | This report describes the winning solution to the Robust Vision Challenge (RVC) semantic segmentation track at ECCV 2022. Our method adopts the FAN-B-Hybrid model as the encoder and uses SegFormer as the segmentation framework. The model is trained on a composite dataset consisting of images from 9 datasets (ADE20K, Ci... | https://arxiv.org/abs/2210.12852v3 | 2210.12852 | 2022-10-23 | natural-language-processing |
1$^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge | The WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge focuses on effectively applying multimodal embedding features to improve click-through rate (CTR) prediction in recommender systems. This technical report presents our 1$^{st}$ place winning solution for Task 2, combining sequential modeling and feature... | https://arxiv.org/abs/2505.03543v1 | 2505.03543 | 2025-05-06 | natural-language-processing |
1st Place Solutions for OpenImage2019 -- Object Detection and Instance Segmentation | This article introduces the solutions of the two champion teams, `MMfruit' for the detection track and `MMfruitSeg' for the segmentation track, in OpenImage Challenge 2019. It is commonly known that for an object detector, the shared feature at the end of the backbone is not appropriate for both classification and regr... | https://arxiv.org/abs/2003.07557v1 | 2003.07557 | 2020-03-17 | natural-language-processing |
1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022) | This report presents the methods of the winning entry of the RxR-Habitat Competition in CVPR 2022. The competition addresses the problem of Vision-and-Language Navigation in Continuous Environments (VLN-CE), which requires an agent to follow step-by-step natural language instructions to reach a target. We present a mod... | https://arxiv.org/abs/2206.11610v2 | 2206.11610 | 2022-06-23 | natural-language-processing |
1st Place Solutions for the UVO Challenge 2022 | This paper describes the approach we have taken in the challenge. We still adopted the two-stage scheme same as the last champion, that is, detection first and segmentation followed. We trained more powerful detector and segmentor separately. Besides, we also perform pseudo-label training on the test set, based on stud... | https://arxiv.org/abs/2210.09629v1 | 2210.09629 | 2022-10-18 | natural-language-processing |
1st Place Solutions for UG2+ Challenge 2021 -- (Semi-)supervised Face detection in the low light condition | In this technical report, we briefly introduce the solution of our team "TAL-ai" for (Semi-) supervised Face detection in the low light condition in UG2+ Challenge in CVPR 2021. By conducting several experiments with popular image enhancement methods and image transfer methods, we pulled the low light image and the nor... | https://arxiv.org/abs/2107.00818v1 | 2107.00818 | 2021-07-02 | natural-language-processing |
1st Place Solutions for UG2+ Challenge 2022 ATMOSPHERIC TURBULENCE MITIGATION | In this technical report, we briefly introduce the solution of our team ''summer'' for Atomospheric Turbulence Mitigation in UG$^2$+ Challenge in CVPR 2022. In this task, we propose a unified end-to-end framework to reconstruct a high quality image from distorted frames, which is mainly consists of a Restormer-based im... | https://arxiv.org/abs/2210.16847v1 | 2210.16847 | 2022-10-30 | natural-language-processing |
1st Place Solutions for Waymo Open Dataset Challenges -- 2D and 3D Tracking | This technical report presents the online and real-time 2D and 3D multi-object tracking (MOT) algorithms that reached the 1st places on both Waymo Open Dataset 2D tracking and 3D tracking challenges. An efficient and pragmatic online tracking-by-detection framework named HorizonMOT is proposed for camera-based 2D track... | https://arxiv.org/abs/2006.15506v1 | 2006.15506 | 2020-06-28 | natural-language-processing |
1st Place Solutions of Waymo Open Dataset Challenge 2020 -- 2D Object Detection Track | In this technical report, we present our solutions of Waymo Open Dataset (WOD) Challenge 2020 - 2D Object Track. We adopt FPN as our basic framework. Cascade RCNN, stacked PAFPN Neck and Double-Head are used for performance improvements. In order to handle the small object detection problem in WOD, we use very large im... | https://arxiv.org/abs/2008.01365v1 | 2008.01365 | 2020-08-04 | natural-language-processing |
1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words | Scene text recognition has attracted increasing interest in recent years due to its wide range of applications in multilingual translation, autonomous driving, etc. In this report, we describe our solution to the Out of Vocabulary Scene Text Understanding (OOV-ST) Challenge, which aims to extract out-of-vocabulary (OOV... | https://arxiv.org/abs/2209.00224v1 | 2209.00224 | 2022-09-01 | natural-language-processing |
1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking | We extend the classical tracking-by-detection paradigm to this tracking-any-object task. Solid detection results are first extracted from TAO dataset. Some state-of-the-art techniques like \textbf{BA}lanced-\textbf{G}roup \textbf{S}oftmax (\textbf{BAGS}\cite{li2020overcoming}) and DetectoRS\cite{qiao2020detectors} are ... | https://arxiv.org/abs/2101.08040v2 | 2101.08040 | 2021-01-20 | natural-language-processing |
1st Place Solution to Google Landmark Retrieval 2020 | This paper presents the 1st place solution to the Google Landmark Retrieval 2020 Competition on Kaggle. The solution is based on metric learning to classify numerous landmark classes, and uses transfer learning with two train datasets, fine-tuning on bigger images, adjusting loss weight for cleaner samples, and esemble... | https://arxiv.org/abs/2009.05132v1 | 2009.05132 | 2020-08-24 | natural-language-processing |
1st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuit | This paper presents our proposed methods to ICDAR 2021 Robust Reading Challenge - Integrated Circuit Text Spotting and Aesthetic Assessment (ICDAR RRC-ICTEXT 2021). For the text spotting task, we detect the characters on integrated circuit and classify them based on yolov5 detection model. We balance the lowercase and ... | https://arxiv.org/abs/2104.03544v1 | 2104.03544 | 2021-04-08 | natural-language-processing |
1st Place Solution to MultiEarth 2023 Challenge on Multimodal SAR-to-EO Image Translation | The Multimodal Learning for Earth and Environment Workshop (MultiEarth 2023) aims to harness the substantial amount of remote sensing data gathered over extensive periods for the monitoring and analysis of Earth's ecosystems'health. The subtask, Multimodal SAR-to-EO Image Translation, involves the use of robust SAR dat... | https://arxiv.org/abs/2306.12626v1 | 2306.12626 | 2023-06-22 | natural-language-processing |
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain Adaptation | The Visual Domain Adaptation(VisDA) 2022 Challenge calls for an unsupervised domain adaptive model in semantic segmentation tasks for industrial waste sorting. In this paper, we introduce the SIA_Adapt method, which incorporates several methods for domain adaptive models. The core of our method in the transferable repr... | https://arxiv.org/abs/2211.14596v1 | 2211.14596 | 2022-11-26 | natural-language-processing |
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem | Speech emotion recognition is a challenging classification task with natural emotional speech, especially when the distribution of emotion types is imbalanced in the training and test data. In this case, it is more difficult for a model to learn to separate minority classes, resulting in those sometimes being ignored o... | https://arxiv.org/abs/2405.20064v1 | 2405.20064 | 2024-05-30 | natural-language-processing |
1st Place Solution to the 1st SkatingVerse Challenge | This paper presents the winning solution for the 1st SkatingVerse Challenge. We propose a method that involves several steps. To begin, we leverage the DINO framework to extract the Region of Interest (ROI) and perform precise cropping of the raw video footage. Subsequently, we employ three distinct models, namely Unma... | https://arxiv.org/abs/2404.14032v1 | 2404.14032 | 2024-04-22 | natural-language-processing |
1st Place Solution to the 8th HANDS Workshop Challenge -- ARCTIC Track: 3DGS-based Bimanual Category-agnostic Interaction Reconstruction | This report describes our 1st place solution to the 8th HANDS workshop challenge (ARCTIC track) in conjunction with ECCV 2024. In this challenge, we address the task of bimanual category-agnostic hand-object interaction reconstruction, which aims to generate 3D reconstructions of both hands and the object from a monocu... | https://arxiv.org/abs/2409.19215v2 | 2409.19215 | 2024-09-28 | natural-language-processing |
1st Place Solution to the EPIC-Kitchens Action Anticipation Challenge 2022 | In this report, we describe the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2022. In this competition, we develop the following two approaches. 1) Anticipation Time Knowledge Distillation using the soft labels learned by the teacher model as knowledge to guide the student netw... | https://arxiv.org/abs/2207.05730v1 | 2207.05730 | 2022-07-10 | natural-language-processing |
1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification | This paper presents our proposed methods for domain adaptive pedestrian re-identification (Re-ID) task in Visual Domain Adaptation Challenge (VisDA-2020). Considering the large gap between the source domain and target domain, we focused on solving two biases that influenced the performance on domain adaptive pedestrian... | https://arxiv.org/abs/2012.13498v1 | 2012.13498 | 2020-12-25 | natural-language-processing |
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation | The third Pixel-level Video Understanding in the Wild (PVUW CVPR 2024) challenge aims to advance the state of art in video understanding through benchmarking Video Panoptic Segmentation (VPS) and Video Semantic Segmentation (VSS) on challenging videos and scenes introduced in the large-scale Video Panoptic Segmentation... | https://arxiv.org/abs/2406.05352v1 | 2406.05352 | 2024-06-08 | natural-language-processing |
$1$-String $B_1$-VPG Representations of Planar Partial $3$-Trees and Some Subclasses | Planar partial $3$-trees are subgraphs of those planar graphs obtained by
repeatedly inserting a vertex of degree $3$ into a face. In this paper, we show
that planar partial $3$-trees have $1$-string $B_1$-VPG representations, i.e.,
representations where every vertex is represented by an orthogonal curve with
at most o... | http://arxiv.org/abs/1506.07246v1 | 1506.07246 | 2015-06-24 | natural-language-processing |
1st Solution Places for CVPR 2023 UG$^2$+ Challenge Track 2.2-Coded Target Restoration through Atmospheric Turbulence | In this technical report, we briefly introduce the solution of our team VIELab-HUST for coded target restoration through atmospheric turbulence in CVPR 2023 UG$^2$+ Track 2.2. In this task, we propose an efficient multi-stage framework to restore a high quality image from distorted frames. Specifically, each distorted ... | https://arxiv.org/abs/2306.09379v1 | 2306.09379 | 2023-06-15 | natural-language-processing |
1st Solution Places for CVPR 2023 UG$^{\textbf{2}}$+ Challenge Track 2.1-Text Recognition through Atmospheric Turbulence | In this technical report, we present the solution developed by our team VIELab-HUST for text recognition through atmospheric turbulence in Track 2.1 of the CVPR 2023 UG$^{2}$+ challenge. Our solution involves an efficient multi-stage framework that restores a high-quality image from distorted frames. Specifically, a fr... | https://arxiv.org/abs/2306.08963v1 | 2306.08963 | 2023-06-15 | natural-language-processing |
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results | The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Maritime Object Tracking, (iii) USV... | https://arxiv.org/abs/2211.13508v2 | 2211.13508 | 2022-11-24 | natural-language-processing |
1-subdivisions, fractional chromatic number and Hall ratio | The Hall ratio of a graph G is the maximum of |V(H)|/alpha(H) over all
subgraphs H of G. Clearly, the Hall ratio of a graph is a lower bound for the
fractional chromatic number. It has been asked whether conversely, the
fractional chromatic number is upper bounded by a function of the Hall ratio.
We answer this questio... | http://arxiv.org/abs/1812.07327v2 | 1812.07327 | 2020-01-30 | natural-language-processing |
1 Tbit/s/$λ$ Transmission Over a 130 km Link Consisting of Graded-Index 50 $μ$m Core Multi-Mode Fiber and 6LP Few-Mode Fiber | We demonstrate 1 Tbit/s/$\lambda$ single-span transmission over a heterogeneous link consisting of graded-index 50 $\mu$m core multi-mode fiber and 6LP few-mode fiber using a Kramers-Kronig receiver structure. Furthermore, the link budget increase by transmitting only three modes while employing more than three receive... | https://arxiv.org/abs/2010.15498v1 | 2010.15498 | 2020-10-29 | natural-language-processing |
1-Tb/s/λ Transmission over Record 10714-km AR-HCF | We present the first single-channel 1.001-Tb/s DP-36QAM-PCS recirculating transmission over 73 loops of 146.77-km ultra-low-loss & low-IMI DNANF-5 fiber, achieving a record transmission distance of 10,714.28 km. | https://arxiv.org/abs/2503.24313v2 | 2503.24313 | 2025-03-31 | natural-language-processing |
1T-FeS$_2$$:$ a new type of two-dimensional metallic ferromagnet | Discovery of intrinsic two-dimensional (2D) magnetic materials is crucial for understanding the fundamentals of 2D magnetism and realizing next-generation magnetoelectronic and magneto-optical devices. Although significant efforts have been devoted to identifying 2D magnetism by exfoliating bulk magnetic layered materi... | https://arxiv.org/abs/2202.00252v1 | 2202.00252 | 2022-02-01 | natural-language-processing |
[1]Title: $Υ$ and $η_b$ mass shifts in nuclear matter and the $^{12}$C nucleus bound states, [2]Title: $Υ$ and $η_b$ mass shifts in nuclear matter and the nucleus bound states | [1]Abstract: This is a contribution for the PANIC 2021 Proceedings based on the articles, Eur. Phys. J. A 57, 259 (2021) and the accompanied article $[$arXiv:2109.08636 $[$hep-ph$]]$ (Hadron 2021 contribution). We have estimated for the first time the mass shifts of the $\Upsilon$ and $\eta_b$ mesons in symmetric nucle... | https://arxiv.org/abs/2109.08636v2 | 2109.08636 | 2021-09-17 | natural-language-processing |
1-to-1 or 1-to-n? Investigating the effect of function inlining on binary similarity analysis | Binary similarity analysis is critical to many code-reuse-related issues and "1-to-1" mechanism is widely applied, where one function in a binary file is matched against one function in a source file or binary file. However, we discover that function mapping is a more complex problem of "1-to-n" or even "n-to-n" due to... | https://arxiv.org/abs/2112.12928v2 | 2112.12928 | 2021-12-24 | natural-language-processing |
1 to 2.4 micron Near-IR spectrum of the Giant Planet $\beta$ Pictoris b obtained with the Gemini Planet Imager | Using the Gemini Planet Imager (GPI) located at Gemini South, we measured the
near-infrared (1.0-2.4 micron) spectrum of the planetary companion to the
nearby, young star $\beta$ Pictoris. We compare the spectrum obtained with
currently published model grids and with known substellar objects and present
the best matchi... | http://arxiv.org/abs/1703.00011v1 | 1703.00011 | 2017-02-28 | natural-language-processing |
\$1 Today or \$2 Tomorrow? The Answer is in Your Facebook Likes | In economics and psychology, delay discounting is often used to characterize
how individuals choose between a smaller immediate reward and a larger delayed
reward. People with higher delay discounting rate (DDR) often choose smaller
but more immediate rewards (a "today person"). In contrast, people with a lower
discoun... | http://arxiv.org/abs/1703.07726v3 | 1703.07726 | 2017-03-22 | natural-language-processing |
1 Trillion Token (1TT) Platform: A Novel Framework for Efficient Data Sharing and Compensation in Large Language Models | In this paper, we propose the 1 Trillion Token Platform (1TT Platform), a novel framework designed to facilitate efficient data sharing with a transparent and equitable profit-sharing mechanism. The platform fosters collaboration between data contributors, who provide otherwise non-disclosed datasets, and a data consum... | https://arxiv.org/abs/2409.20149v1 | 2409.20149 | 2024-09-30 | natural-language-processing |
1-Uryson width and covers | We investigate the following question: Do there exist Riemannian polyhedra $X$ such that the 1-Uryson width of their universal covers $\mathrm{UW}_1(\widetilde{X})$ is bounded but $\mathrm{UW}_1(X)$ is arbitrarily large? We rule out two specific cases: when $\pi_1(X)$ is virtually cyclic and when $X$ is a Riemannian su... | https://arxiv.org/abs/2505.21126v1 | 2505.21126 | 2025-05-27 | natural-language-processing |
$(1+\varepsilon)$-ANN Data Structure for Curves via Subspaces of Bounded Doubling Dimension | We consider the $(1+\varepsilon)$-Approximate Nearest Neighbour (ANN) Problem for polygonal curves in $d$-dimensional space under the Fr\'echet distance and ask to what extent known data structures for doubling spaces can be applied to this problem. Initially, this approach does not seem viable, since the doubling dime... | https://arxiv.org/abs/2307.08521v1 | 2307.08521 | 2023-07-17 | natural-language-processing |
$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets | Anomaly detection is not an easy problem since distribution of anomalous samples is unknown a priori. We explore a novel method that gives a trade-off possibility between one-class and two-class approaches, and leads to a better performance on anomaly detection problems with small or non-representative anomalous sample... | https://arxiv.org/abs/1906.06096v1 | 1906.06096 | 2019-06-14 | natural-language-processing |
$1/\varphi$ Spectrum of the Stress Dynamics with the Bak-Tang-Wiesenfeld Sandpile | With the original Bak-Tang-Wisenefeld (BTW) sandpile we uncover the $1/\varphi$ noise in the mechanism maintaining self-organized criticality (SOC) - the question raised together with the concept of SOC. We posit that the dynamics of stress in the BTW sandpile follows quasi-cycles of graduate stress accumulation that e... | https://arxiv.org/abs/2212.14726v3 | 2212.14726 | 2022-12-30 | natural-language-processing |
1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions | Fine-tuning large-scale pre-trained vision models to downstream tasks is a standard technique for achieving state-of-the-art performance on computer vision benchmarks. However, fine-tuning the whole model with millions of parameters is inefficient as it requires storing a same-sized new model copy for each task. In... | http://openaccess.thecvf.com//content/CVPR2023/html/Yin_1_VS_100_Parameter-Efficient_Low_Rank_Adapter_for_Dense_Predictions_CVPR_2023_paper.html | null | 2023-01-01 | natural-language-processing |
1-Wasserstein Distance on the Standard Simplex | Wasserstein distances provide a metric on a space of probability measures. We
consider the space $\Omega$ of all probability measures on the finite set $\chi
= \{1, \dots ,n\}$ where $n$ is a positive integer. 1-Wasserstein distance,
$W_1(\mu,\nu)$ is a function from $\Omega \times \Omega$ to $[0,\infty)$. This
paper d... | http://arxiv.org/abs/1912.04945v1 | 1912.04945 | 2019-12-10 | natural-language-processing |
1-well-covered graphs revisited | A graph is well-covered if all its maximal independent sets are of the same
size (M. D. Plummer, 1970). A well-covered graph is 1-well-covered if the
deletion of every vertex leaves a graph which is well-covered as well (J. W.
Staples, 1975). A graph G belongs to class W_{n} if every n pairwise disjoint
independent set... | http://arxiv.org/abs/1610.03972v3 | 1610.03972 | 2016-12-12 | natural-language-processing |
1WHSP: an IR-based sample of $\sim$1,000 VHE $\gamma$-ray blazar candidates | Blazars are the dominant type of extragalactic sources at microwave and at
$\gamma$-ray energies. In the most energetic part of the electromagnetic
spectrum (E>100GeV) a large fraction of high Galactic latitude sources are
blazars of the High Synchrotron Peaked (HSP) type, that is BL Lac objects with
synchrotron power ... | http://arxiv.org/abs/1504.02801v1 | 1504.02801 | 2015-04-10 | natural-language-processing |
1-WL Expressiveness Is (Almost) All You Need | It has been shown that a message passing neural networks (MPNNs), a popular family of neural networks for graph-structured data, are at most as expressive as the first-order Weisfeiler-Leman (1-WL) graph isomorphism test, which has motivated the development of more expressive architectures. In this work, we analyze if ... | https://arxiv.org/abs/2202.10156v1 | 2202.10156 | 2022-02-21 | natural-language-processing |
1 x 1 Rush Hour with Fixed Blocks is PSPACE-complete | Consider $n^2-1$ unit-square blocks in an $n \times n$ square board, where each block is labeled as movable horizontally (only), movable vertically (only), or immovable -- a variation of Rush Hour with only $1 \times 1$ cars and fixed blocks. We prove that it is PSPACE-complete to decide whether a given block can reach... | https://arxiv.org/abs/2003.09914v2 | 2003.09914 | 2020-03-22 | natural-language-processing |
1xN DWDM channel selective quantum frequency conversion | Dense Wavelength Division Multiplexing (DWDM) is a key technology for realizing high-capacity and flexible quantum communication networks. In addition, to realize the emerging quantum internet, quantum frequency conversion is also essential for bridging different quantum systems over optical fiber networks. In this wor... | https://arxiv.org/abs/2409.08025v1 | 2409.08025 | 2024-09-12 | natural-language-processing |
1xN Pattern for Pruning Convolutional Neural Networks | Though network pruning receives popularity in reducing the complexity of convolutional neural networks (CNNs), it remains an open issue to concurrently maintain model accuracy as well as achieve significant speedups on general CPUs. In this paper, we propose a novel 1xN pruning pattern to break this limitation. In part... | https://arxiv.org/abs/2105.14713v6 | 2105.14713 | 2021-05-31 | natural-language-processing |
$1/x$ Probability Distribution in a Close Proximity of the Bak-Tang-Wiesenfeld Sandpile | The mechanism of self-organized criticality is based on a steady slow loading and a quick huge stress-release. We add the clustering of the events in space and time to the Bak-Tang-Wiesenfeld cellular automaton and obtain the truncated $1/x$ probability distribution of the events over their sizes. | https://arxiv.org/abs/2105.04375v1 | 2105.04375 | 2021-05-10 | natural-language-processing |
1+ XTZ States within QCD Sum Rules | We present improved estimates of the couplings, masses and mass ratios of the $X_Q, Z_Q$ and $T_{QQ\bar q\bar q'}$ states using (inverse) QCD Laplace sum rules (LSR), their ratios ${\cal R}$ and double ratios (DRSR), within stability criteria. We conclude that the observed $X_c(3872)$ and $Z_c(3900)$ are tetramoles sta... | https://arxiv.org/abs/2212.12136v1 | 2212.12136 | 2022-12-23 | natural-language-processing |
$(1-ε)$-approximate fully dynamic densest subgraph: linear space and faster update time | We consider the problem of maintaining a $(1-\epsilon)$-approximation to the densest subgraph (DSG) in an undirected multigraph as it undergoes edge insertions and deletions (the fully dynamic setting). Sawlani and Wang [SW20] developed a data structure that, for any given $\epsilon > 0$, maintains a $(1-\epsilon)$-app... | https://arxiv.org/abs/2210.02611v1 | 2210.02611 | 2022-10-06 | natural-language-processing |
$(1-ε)$-Approximate Maximum Weighted Matching in Distributed, Parallel, and Semi-Streaming Settings | The maximum weighted matching (MWM) problem is one of the most well-studied combinatorial optimization problems in distributed graph algorithms. Despite a long development on the problem, and the recent progress of Fischer, Mitrovic, and Uitto [FMU22] who gave a $\text{poly}(1/\epsilon, \log n)$-round algorithm for obt... | https://arxiv.org/abs/2212.14425v2 | 2212.14425 | 2022-12-29 | natural-language-processing |
$(1+ε)$-Approximate Shortest Paths in Dynamic Streams | Computing approximate shortest paths in the dynamic streaming setting is a fundamental challenge that has been intensively studied during the last decade. Currently existing solutions for this problem either build a sparse multiplicative spanner of the input graph and compute shortest paths in the spanner offline, or c... | https://arxiv.org/abs/2107.13309v2 | 2107.13309 | 2021-07-28 | natural-language-processing |
$(1-ε)$-Approximation of Knapsack in Nearly Quadratic Time | Knapsack is one of the most fundamental problems in theoretical computer science. In the $(1 - \epsilon)$-approximation setting, although there is a fine-grained lower bound of $(n + 1 / \epsilon) ^ {2 - o(1)}$ based on the $(\min, +)$-convolution hypothesis ([K{\"u}nnemann, Paturi and Stefan Schneider, ICALP 2017] and... | https://arxiv.org/abs/2308.07004v3 | 2308.07004 | 2023-08-14 | natural-language-processing |
200,000 Candidate Very Metal-poor Stars in Gaia DR3 XP Spectra | Very metal-poor stars ($\rm[Fe/H] < -2$) in the Milky Way are fossil records of early chemical evolution and the assembly and structure of the Galaxy. However, they are rare and hard to find. Gaia DR3 has provided over 200 million low-resolution ($R \approx 50$) XP spectra, which provides an opportunity to greatly incr... | https://arxiv.org/abs/2303.17676v2 | 2303.17676 | 2023-03-30 | natural-language-processing |
2000-times repeated imaging of strontium atoms in clock-magic tweezer arrays | We demonstrate single-atom resolved imaging with a survival probability of
$0.99932(8)$ and a fidelity of $0.99991(1)$, enabling us to perform repeated
high-fidelity imaging of single atoms in tweezers for thousands of times. We
further observe lifetimes under laser cooling of more than seven minutes, an
order of magni... | http://arxiv.org/abs/1811.06014v3 | 1811.06014 | 2018-12-11 | natural-language-processing |
2001 SN263 -- the contribution of their irregular shapes on the neighborhood dynamics | The first proposed Brazilian mission to deep space, the ASTER mission, has the triple asteroid system (153591) 2001 SN263 as a target. One of the mission's main goals is to analyze the physical and dynamical structures of the system to understand its origin and evolution. The present work aims to analyze how the astero... | https://arxiv.org/abs/2207.01726v1 | 2207.01726 | 2022-07-04 | natural-language-processing |
2003-2018 Monitoring of the Crab Nebula Polarization in hard X-rays with INTEGRAL SPI | We have analyzed 16 years of observations dedicated to the Crab (pulsar +
nebula) with the INTEGRAL SPI instrument to investigate its polarization
properties. We find that the source presents a substantially polarized emission
(PF = 24%) in the hard X-ray domain, with the electric vector aligned with the
pulsar spin ax... | http://arxiv.org/abs/1907.09341v1 | 1907.09341 | 2019-07-22 | natural-language-processing |
2003-2019 Monitoring of the Crab emission through INTEGRAL SPI, or vice versa | The Crab Nebula is used by many instruments as a calibration source, in
particular at high energy, where it is one of the brightest celestial object.
The spectrometer INTEGRAL SPI (20 keV - 8 MeV), in operation since October
2002, offers a large dataset dedicated to this source, with regular campaigns
planned twice per... | http://arxiv.org/abs/2007.11519v1 | 2007.11519 | 2020-07-22 | natural-language-processing |
2004 EW95: A phyllosilicate bearing carbonaceous asteroid in the Kuiper Belt | Models of the Solar System's dynamical evolution predict the dispersal of
primitive planetesimals from their formative regions amongst the gas-giant
planets due to the early phases of planetary migration. Consequently,
carbonaceous objects were scattered both into the outer asteroid belt and out
to the Kuiper Belt. The... | http://arxiv.org/abs/1801.10163v3 | 1801.10163 | 2018-03-12 | natural-language-processing |
2004 TT357: A potential contact binary in the Trans-Neptunian belt | We report photometric observations of the trans-Neptunian object
2004~TT$_{357}$ obtained in 2015 and 2017 using the 4.3~m Lowell's Discovery
Channel Telescope. We derive a rotational period of 7.79$\pm$0.01~h and a
peak-to-peak lightcurve amplitude of 0.76$\pm$0.03~mag. 2004 TT$_{357}$
displays a large variability tha... | http://arxiv.org/abs/1707.09927v1 | 1707.09927 | 2017-07-31 | natural-language-processing |
2005 VL1 is not Venera-2 | The solar system object 2005 VL1 passed close to Earth in late 1965. It has been suggested that it is actually the space probe Venera-2. However, a comparison of the orbits presented in this note demonstrates that the proposed association is incorrect. | https://arxiv.org/abs/2503.07972v2 | 2503.07972 | 2025-03-11 | natural-language-processing |
2008 OG$_{19}$: A highly elongated Trans-Neptunian Object | From two observing runs during the 2014 summer at Calar Alto Observatory in
Almer\'ia (Spain) and at Sierra Nevada Observatory in Granada (Spain), we were
able to derive CCD photometry of the Trans-Neptunian Object 2008 OG$_{19}$. We
analyzed the time series and obtained a double-peaked light curve with a peak
to valle... | http://arxiv.org/abs/1511.06584v1 | 1511.06584 | 2015-11-20 | natural-language-processing |
200Gb/s VCSEL transmission using 60m OM4 MMF and KP4 FEC for AI computing clusters | We show a beyond 200Gb/s VCSEL transmission experiment. Results are based on 35GHz VCSEL and advanced DSP. We show an AIR of 245Gb/s PAM-6 back-to-back, and 200Gb/s PAM-4 over 60m OM4 fiber assuming KP4-FEC. | https://arxiv.org/abs/2403.17275v1 | 2403.17275 | 2024-03-25 | natural-language-processing |
200K+ Crowdsourced Political Arguments for a New Chilean Constitution | In this paper we present the dataset of 200,000+ political arguments produced in the local phase of the 2016 Chilean constitutional process. We describe the human processing of this data by the government officials, and the manual tagging of arguments performed by members of our research group. Afterwards we focus on c... | https://aclanthology.org/W17-5101 | null | 2017-09-01 | natural-language-processing |
200mm Optical synthetic aperture imaging over 120 meters distance via Macroscopic Fourier ptychography | Fourier ptychography (FP) imaging, drawing on the idea of synthetic aperture, has been demonstrated as a potential approach for remote sub-diffraction-limited imaging. Nevertheless, the farthest imaging distance is still limited around 10 m even though there has been a significant improvement in macroscopic FP. The mos... | https://arxiv.org/abs/2310.14515v2 | 2310.14515 | 2023-10-23 | natural-language-processing |
200 MV Record Voltage Of vCM And LCLS-II-HE Cryomodules Production Start At Fermilab | The Linac Coherent Light Source (LCLS) is an X-ray science facility at SLAC National Accelerator Laboratory. The LCLS-II project (an upgrade to LCLS) is in the commissioning phase; the LCLS-II-HE (High Energy) project is another upgrade to the facility, enabling higher energy operation. An electron beam is accelerated ... | https://arxiv.org/abs/2208.12780v1 | 2208.12780 | 2022-08-26 | natural-language-processing |
200x Low-dose PET Reconstruction using Deep Learning | Positron emission tomography (PET) is widely used in various clinical
applications, including cancer diagnosis, heart disease and neuro disorders.
The use of radioactive tracer in PET imaging raises concerns due to the risk of
radiation exposure. To minimize this potential risk in PET imaging, efforts
have been made to... | http://arxiv.org/abs/1712.04119v1 | 1712.04119 | 2017-12-12 | natural-language-processing |
200 Years of the Navier-Stokes Equation | The year 2022 marked the 200th anniversary of the first appearance of the Navier-Stokes equation, a landmark in Fluid Dynamics introduced by Claude-Louis Navier in 1822. This equation revolutionized the understanding of fluid motion by incorporating viscosity and friction into the equations, expanding their applicabili... | https://arxiv.org/abs/2401.13669v1 | 2401.13669 | 2023-10-14 | natural-language-processing |
2010 August 1-2 sympathetic eruptions: II. Magnetic topology of the MHD background field | Using a potential field source surface (PFSS) model, we recently analyzed the
global topology of the background coronal magnetic field for a sequence of
coronal mass ejections (CMEs) that occurred on 2010 August 1-2. Here we repeat
this analysis for the background field reproduced by a magnetohydrodynamic
(MHD) model t... | http://arxiv.org/abs/1707.07773v1 | 1707.07773 | 2017-07-24 | natural-language-processing |
2013-2016 review: HE Neutrino and UHECR Astronomy? | The last few years, 2013-2016, the high energy neutrino events in ICECUBE and
the last rich UHECR maps by AUGER and TA were hopefully opening a new High
Energy astronomy age. Unfortunately the foreseen correlation between neutrino
with best gamma X sources has not (yet) been found. The most celebrated GRB
gamma sources... | http://arxiv.org/abs/1702.00021v1 | 1702.00021 | 2017-01-31 | natural-language-processing |
2014 Update of the Discoveries of Nuclides | The 2014 update of the discovery of nuclide project is presented. Only six
new nuclides were observed for the first time in 2014 while the assignments of
seventeen other nuclides were revised. In addition, for another fourteen
nuclides the laboratories where they were discovered were reassigned. | http://arxiv.org/abs/1501.06761v1 | 1501.06761 | 2015-01-27 | natural-language-processing |
2015 Southern Taurid fireballs and asteroids 2005 UR and 2005 TF50 | On the night of Oct 31, 2015 two bright Southern Taurid fireballs occurred
over Poland, being one of the most spectacular bolides of this shower in recent
years. The first fireball - PF311015a Okonek - was detected by six video
stations of Polish Fireball Network (PFN) and photographed by several
bystanders, allowing f... | http://arxiv.org/abs/1605.06283v1 | 1605.06283 | 2016-05-20 | natural-language-processing |
2016 Google Scholar Metrics released: a matter of languages... and something else | The 2016 edition of Google Scholar Metrics was released on July 15th 2016.
There haven't been any structural changes respect to previous versions, which
means that most of its limitations still persist. The biggest changes are the
addition of five new language rankings (Russian, Korean, Polish, Ukrainian, and
Indonesia... | http://arxiv.org/abs/1607.06260v1 | 1607.06260 | 2016-07-21 | natural-language-processing |
2016 outburst of H~1743--322: \textit{XMM-Newton} and \textit{NuSTAR} view | We report the detection of type C QPO along with the upper harmonic in the
commensurate ratio of 1:2 in the two observations of the low-mass black hole
transient H~1743--322 jointly observed by \textit{XMM-Newton} and
\textit{NuSTAR} during the 2016 outburst. We find that the QPO and the upper
harmonic exhibit shifts i... | http://arxiv.org/abs/2003.09245v1 | 2003.09245 | 2020-03-20 | natural-language-processing |
2016 Update of the discovery of nuclides | The 2016 update of the discovery of nuclide project is presented. Only twelve
new nuclides were observed for the first time in 2016. A large number of
isotopes is still only published in conference proceedings or internal reports.
No changes to earlier assignments were made. | http://arxiv.org/abs/1704.07169v1 | 1704.07169 | 2017-04-24 | natural-language-processing |
2016 Update of the $\mathrm{t\bar{t}H}$ Multilepton Analysis at $\sqrt{s} = 13$ TeV | The latest results from the search for a Standard Model Higgs boson produced
in association with a top quark pair ($\mathrm{t\bar{t}H}$) at $\sqrt{s} = 13$
TeV decaying to final states with multiple leptons is presented using the 2016
dataset from the CMS experiment. The Higgs decays into either WW*, ZZ*, or
$\tau\tau$... | http://arxiv.org/abs/1612.07812v1 | 1612.07812 | 2016-12-22 | natural-language-processing |
2017 Outburst of H 1743-322: AstroSat and Swift View | We perform a comprehensive timing and broadband spectral analysis using an AstroSat observation of the low-mass black hole X-ray binary H~1743--322 during 2017 outburst. Additionally, we use two Swift/XRT observations, one of which is simultaneous with AstroSat and the other taken three days earlier, for timing analysi... | https://arxiv.org/abs/2409.10253v1 | 2409.10253 | 2024-09-16 | natural-language-processing |
2017 Robotic Instrument Segmentation Challenge | In mainstream computer vision and machine learning, public datasets such as
ImageNet, COCO and KITTI have helped drive enormous improvements by enabling
researchers to understand the strengths and limitations of different algorithms
via performance comparison. However, this type of approach has had limited
translation ... | http://arxiv.org/abs/1902.06426v2 | 1902.06426 | 2019-02-18 | natural-language-processing |
2017 Update of the Discoveries of Nuclides | The 2017 update of the discovery of nuclide project is presented. 34 new
nuclides were observed for the first time in 2017. However, the assignment of
six previously identified nuclides had to be retracted. | http://arxiv.org/abs/1802.03612v1 | 1802.03612 | 2018-02-10 | natural-language-processing |
2018 Census of Interstellar, Circumstellar, Extragalactic, Protoplanetary Disk, and Exoplanetary Molecules | To date, 204 individual molecular species, comprised of 16 different
elements, have been detected in the interstellar and circumstellar medium by
astronomical observations. These molecules range in size from two atoms to
seventy, and have been detected across the electromagnetic spectrum from
cm-wavelengths to the ultr... | http://arxiv.org/abs/1809.09132v1 | 1809.09132 | 2018-09-24 | natural-language-processing |
2018 Low-Power Image Recognition Challenge | The Low-Power Image Recognition Challenge (LPIRC,
https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in
2015. The competition identifies the best technologies that can classify and
detect objects in images efficiently (short execution time and low energy
consumption) and accurately (high precis... | http://arxiv.org/abs/1810.01732v1 | 1810.01732 | 2018-10-03 | natural-language-processing |
2018 NASA Laboratory Astrophysics Workshop: Scientific Organizing Committee Report | This report provides detailed findings on the critical laboratory
astrophysics data needs that are required to maximize the scientific return for
NASA's current and near-term planned astrophysics missions. It also provides
prioritized rankings on said laboratory astrophysics data, generally by
waveband. The Report is b... | http://arxiv.org/abs/2001.11361v1 | 2001.11361 | 2020-01-29 | natural-language-processing |
2018 Robotic Scene Segmentation Challenge | In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models. However, the limited background variation and simple motion rendered the dataset uninformative in learni... | https://arxiv.org/abs/2001.11190v3 | 2001.11190 | 2020-01-30 | natural-language-processing |
2018 Update on $\varepsilon_K$ with lattice QCD inputs | We present updated results for $\varepsilon_K$ determined directly from the
standard model (SM) with lattice QCD inputs such as $\hat{B}_K$, $|V_{cb}|$,
$|V_{us}|$, $\xi_0$, $\xi_2$, $\xi_\text{LD}$, $F_K$, and $m_c$. We find that
the standard model with exclusive $|V_{cb}|$ and other lattice QCD inputs
describes only ... | http://arxiv.org/abs/1810.09761v1 | 1810.09761 | 2018-10-23 | natural-language-processing |
2019/20 Lessons from $\tau (\Omega_c^0)$ \& $\tau (\Xi_c^0)$ and {\bf CP} asymmetry in charm decays | Our 2003 "Cicerone" had discussed charm dynamics with different directions
and levels \cite{CICERONE}. Here we focus on two items, where the `landscape'
has changed sizably. (A) The lifetimes \& semi-leptonic decays of charm hadrons
show the impact of non-perturbative QCD and to which degree one can apply Heavy
Quark E... | http://arxiv.org/abs/2001.06908v3 | 2001.06908 | 2020-07-28 | natural-language-processing |
2019 Evolutionary Algorithms Review | Evolutionary algorithm research and applications began over 50 years ago. Like other artificial intelligence techniques, evolutionary algorithms will likely see increased use and development due to the increased availability of computation, more robust and available open source software libraries, and the increasing de... | https://arxiv.org/abs/1906.08870v1 | 1906.08870 | 2019-06-03 | natural-language-processing |
2019 UO$_{14}$: A Transient Trojan of Saturn | Saturn has long been the only giant planet in our solar system without any known Trojan members. In this paper, with serendipitous archival observations and refined orbit determination, we report that 2019 UO$_{14}$ is a Trojan of the gas giant. However, the object is only a transient Trojan currently librating around ... | https://arxiv.org/abs/2409.19725v1 | 2409.19725 | 2024-09-29 | natural-language-processing |
2019 Update on $\varepsilon_K$ with lattice QCD inputs | We present updated results for $\varepsilon_K$ determined directly from the
standard model (SM) with lattice QCD inputs such as $\hat{B}_K$, $|V_{cb}|$,
$|V_{us}|$, $\xi_0$, $\xi_2$, $\xi_\text{LD}$, $f_K$, and $m_c$. We find that
the standard model with exclusive $|V_{cb}|$ and other lattice QCD inputs
describes only ... | http://arxiv.org/abs/1912.03024v2 | 1912.03024 | 2019-12-11 | natural-language-processing |
2020 CATARACTS Semantic Segmentation Challenge | Surgical scene segmentation is essential for anatomy and instrument localization which can be further used to assess tissue-instrument interactions during a surgical procedure. In 2017, the Challenge on Automatic Tool Annotation for cataRACT Surgery (CATARACTS) released 50 cataract surgery videos accompanied by instrum... | https://arxiv.org/abs/2110.10965v2 | 2110.10965 | 2021-10-21 | natural-language-processing |
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