text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
basic as the adopted U-Net structure. is DCNN | U-Net is adopted as the basic DCNN structure. | 39,200 |
detailed feature show subdivision of results i.e. the The that map, | The results show that detailed subdivision of the feature map, i.e. | 39,201 |
IN, group number a with achieves accuracy. higher GN or large | GN with a large group number or IN, achieves higher accuracy. | 39,202 |
This improvement mainly generalization. better from comes accuracy model | This accuracy improvement mainly comes from better model generalization. | 39,203 |
are uploaded at maintained Codes and Zhou's Github. Xiao-Yun | Codes are uploaded and maintained at Xiao-Yun Zhou's Github. | 39,204 |
modeling these long-term improve innovations demonstrate results Our the that trajectories. motion of | Our results demonstrate that these innovations improve the modeling of long-term motion trajectories. | 39,205 |
show predict connections recurrent small i.e. skip to the objects, ability occluded Novel | Novel recurrent skip connections show the ability to predict small occluded objects, i.e. | 39,206 |
previous Experiments improvements a our also Carlo network, to quantify literature. and Monte approach, | Experiments also quantify improvements to our previous network, a Monte Carlo approach, and literature. | 39,207 |
divergence introduce to Kullback-Leibler reject on a also We doubtful criterion based examples. | We also introduce a criterion based on Kullback-Leibler divergence to reject doubtful examples. | 39,208 |
is effect visual experiments and performed Extensive included. discussion on enhancement are | Extensive experiments are performed and discussion on visual effect enhancement is included. | 39,209 |
segmentation and training optimised with post-process. a for present lesion ensemble method We method two-stage | We present a two-stage method for lesion segmentation with optimised training method and ensemble post-process. | 39,210 |
sign microcalcifications of cancer. an be breast early of can Cluster | Cluster of microcalcifications can be an early sign of breast cancer. | 39,211 |
data. focus We on estimating video the frequency of human problem from hand-tremor input RGB | We focus on the problem of estimating human hand-tremor frequency from input RGB video data. | 39,212 |
The rate e.g. assumed in constant model, | The constant rate model, assumed in e.g. | 39,213 |
Saleh-Valenzuela to same the reproduce is unable model, effects. the | the Saleh-Valenzuela model, is unable to reproduce the same effects. | 39,214 |
datasets and algorithms. survey state-of-the-art associated This the also public reviews | This survey also reviews the public datasets and associated state-of-the-art algorithms. | 39,215 |
convergence. processes The performed are iteratively until | The processes are performed iteratively until convergence. | 39,216 |
component distance unary employ Specifically, we to the the build geodesic term. | Specifically, we employ the geodesic distance component to build the unary term. | 39,217 |
the outliers. register aim we images step different patients, to yields matching As many of | As we aim to register images of different patients, the matching step yields many outliers. | 39,218 |
algorithm we new which efficiently discards EM-weighting Then a outliers. propose | Then we propose a new EM-weighting algorithm which efficiently discards outliers. | 39,219 |
carried optimization descent Global a with algorithm. fast gradient is out | Global optimization is carried out with a fast gradient descent algorithm. | 39,220 |
register approach large to our allows datasets. robustly This | This allows our approach to robustly register large datasets. | 39,221 |
in and role an pedestrians) cyclists will play future important traffic. | cyclists and pedestrians) will play an important role in future traffic. | 39,222 |
of movement consists detection prediction, The primitive basic e.g. intention | The intention detection consists of basic movement primitive prediction, e.g. | 39,223 |
trajectory. a turning, and future forecast moving, standing, the of | standing, moving, turning, and a forecast of the future trajectory. | 39,224 |
open Heterogeneous, agents and of sets vehicles, infrastructure, interacting (cooperating e.g. | Heterogeneous, open sets of agents (cooperating and interacting vehicles, infrastructure, e.g. | 39,225 |
are inconsistencies resolved the of implausibilities Concealments, intelligence cooperating by collective and agents. | Concealments, implausibilities and inconsistencies are resolved by the collective intelligence of cooperating agents. | 39,226 |
obtained compared. both the Results are approaches using | Results obtained using both the approaches are compared. | 39,227 |
identification. signal limitation based MUSIC, the methods on as for subspace known is This otherwise | This is the limitation for methods based on MUSIC, otherwise known as signal subspace identification. | 39,228 |
appearance. from structure structure-from-motion not actually learns and context This motion, from algorithm only | This algorithm actually learns structure-from-motion from motion, and not only structure from context appearance. | 39,229 |
use videos, moving stabilized camera and Two ones. cases considered, are unstabilized | Two use cases are considered, unstabilized moving camera videos, and stabilized ones. | 39,230 |
their negate drop-out online which effectiveness. cost high However, suffers from treatment might rates, | However, online treatment suffers from high drop-out rates, which might negate their cost effectiveness. | 39,231 |
varying The camera illumination shown changes. improvements and perspective significant have experimental results presented with | The presented experimental results have shown significant improvements with varying illumination and camera perspective changes. | 39,232 |
some drawbacks, i.e. with compact algorithms However, come also | However, compact algorithms also come with some drawbacks, i.e. | 39,233 |
and they to performance problems. tend on premature non-separable poorer show convergence | they tend to premature convergence and show poorer performance on non-separable problems. | 39,234 |
Gaussian modeled a The are and time-variant using unknown values safety spatio-temporal process. | The unknown and time-variant safety values are modeled using a spatio-temporal Gaussian process. | 39,235 |
Many that and complex plants harbor mechanisms transfer. pollen promote outcrossing efficient | Many plants harbor complex mechanisms that promote outcrossing and efficient pollen transfer. | 39,236 |
(SI) self-incompatibility mechanisms, systems. floral include such genetic These adaptations molecular as as well as | These include floral adaptations as well as genetic mechanisms, such as molecular self-incompatibility (SI) systems. | 39,237 |
with association been repeatedly in self-fertilization to lost, has SI (selfing). transitions often Conversely, | Conversely, SI has repeatedly been lost, often in association with transitions to self-fertilization (selfing). | 39,238 |
complexity, of improve lower performance To the is its convolution a target adopted. dilated with | To improve its performance with a target of lower complexity, the dilated convolution is adopted. | 39,239 |
cost. and computational thinner A the to shallower structure is designed decrease | A shallower and thinner structure is designed to decrease the computational cost. | 39,240 |
shows results on scenes. captured promising system road the Our | Our system shows promising results on the captured road scenes. | 39,241 |
of experts method variable selection frameworks A for in proposed. mixture is implicit | A method for implicit variable selection in mixture of experts frameworks is proposed. | 39,242 |
prior We information set covariates. taken where introduce independent of from structure is a a | We introduce a prior structure where information is taken from a set of independent covariates. | 39,243 |
Robust membership a are prior. normal predictors identified gamma using class | Robust class membership predictors are identified using a normal gamma prior. | 39,244 |
implementation inference the a out Fully of Gibbs is via carried sampler. Bayesian | Fully Bayesian inference is carried out via the implementation of a Gibbs sampler. | 39,245 |
one in described as cell were populations Chondrocytes literature. cartilage most | Chondrocytes were described as one cell populations in most cartilage literature. | 39,246 |
training, projections network for and mappings, natural introduced. Bases, Neural are metrics, | Bases, mappings, projections and metrics, natural for Neural network training, are introduced. | 39,247 |
relatively in emerges, simple even naturally datasets. Non-Gaussianity | Non-Gaussianity naturally emerges, even in relatively simple datasets. | 39,248 |
analyzed, of point are Training view. statistics, physics energies from hierarchies and | Training statistics, hierarchies and energies are analyzed, from physics point of view. | 39,249 |
Duality (for observations and between observables pixels) established. example, is | Duality between observables (for example, pixels) and observations is established. | 39,250 |
numerical between and exact studied. solutions is Relationship | Relationship between exact and numerical solutions is studied. | 39,251 |
offered. of financial key a and mathematics problem are interpretations Physics | Physics and financial mathematics interpretations of a key problem are offered. | 39,252 |
is not practical majority for vast Unfortunately, researchers. approach this of the | Unfortunately, this approach is not practical for the vast majority of researchers. | 39,253 |
semantic years. learning progress has great deep shown recent for in segmentation Concurrently, | Concurrently, deep learning for semantic segmentation has shown great progress in recent years. | 39,254 |
tasks in we are propose Specifically, network structure two a these which coupled. highly | Specifically, we propose a network structure in which these two tasks are highly coupled. | 39,255 |
two-stage One the refinement of process. key this is novelty approach | One key novelty of this approach is the two-stage refinement process. | 39,256 |
from paper a modeling that This can head the problem is solve. we proposes Internet | This paper proposes that head modeling from the Internet is a problem we can solve. | 39,257 |
head. target the rough We of shape of reconstruction the | We target reconstruction of the rough shape of the head. | 39,258 |
algorithm. call We boundary-value method our growing | We call our method boundary-value growing algorithm. | 39,259 |
presented. photos downloaded of celebrities Results are the on from Internet | Results on photos of celebrities downloaded from the Internet are presented. | 39,260 |
networks the dynamics spiking of neurons. collective structured of densely connected We analyze hierarchically | We analyze the collective dynamics of hierarchically structured networks of densely connected spiking neurons. | 39,261 |
scenes UAV data. on try We synthetic and real our algorithm both flight | We try our algorithm on both synthetic scenes and real UAV flight data. | 39,262 |
more this is thoroughly. that with a article video our results Along present | Along with this article is a video that present our results more thoroughly. | 39,263 |
problem. classification plays information supervised Label in image an important role hyperspectral | Label information plays an important role in supervised hyperspectral image classification problem. | 39,264 |
be majority vote propagated algorithm. a can the by final calculated label Therefore, | Therefore, the final propagated label can be calculated by a majority vote algorithm. | 39,265 |
also The subtlety discussed. of is interpreting results | The subtlety of interpreting results is also discussed. | 39,266 |
efficiently. And such them exist, if how inputs find to | And if such inputs exist, how to find them efficiently. | 39,267 |
practically use these also by the to implementations. providing We show corresponding solutions, how | We also show how to practically use these solutions, by providing the corresponding implementations. | 39,268 |
capabilities All utilization of medicine. are the invasive in of use minimally these | All these capabilities are of use in the utilization of minimally invasive medicine. | 39,269 |
Micro-Dictionary a In Coding Learning and paper, Deep Network propose we this (DDLCN). novel | In this paper, we propose a novel Deep Micro-Dictionary Learning and Coding Network (DDLCN). | 39,270 |
most has standard deep (pooling, the layers DDLCN connected, learning fully, etc.) input/output, of | DDLCN has most of the standard deep learning layers (pooling, fully, connected, input/output, etc.) | 39,271 |
input an for learning over-complete the dictionary training dictionary data. layer The learns | The dictionary learning layer learns an over-complete dictionary for the input training data. | 39,272 |
several proposed methods learning and learning the with deep We architectures. empirically DDLCN compare dictionary | We empirically compare the proposed DDLCN with several dictionary learning methods and deep learning architectures. | 39,273 |
understanding works. of how bootstrap provides It intuitive an the | It provides an intuitive understanding of how the bootstrap works. | 39,274 |
in details are Mathematical references cited. that available are | Mathematical details are available in references that are cited. | 39,275 |
holds. distributional findings our Our similarity that hypothesis indicate | Our findings indicate that our distributional similarity hypothesis holds. | 39,276 |
domain However, in of received techniques attention only computer maritime recently. vision application | However, application of computer vision techniques in maritime domain received attention only recently. | 39,277 |
challenges. requirements own maritime offers and unique environment its The | The maritime environment offers its own unique requirements and challenges. | 39,278 |
in need Assessment is detections computer of a quality of the vision. fundamental | Assessment of the quality of detections is a fundamental need in computer vision. | 39,279 |
computer defining the vision. of discuss We suitable problem assessment maritime for metrics | We discuss the problem of defining assessment metrics suitable for maritime computer vision. | 39,280 |
consider computer metrics maritime for metrics new proximity vision. bottom assessment edge We as | We consider new bottom edge proximity metrics as assessment metrics for maritime computer vision. | 39,281 |
ESS paper not the MCMC use does for of algorithms. This cover | This paper does not cover the use of ESS for MCMC algorithms. | 39,282 |
local commonly a Existing of matching a global compositions pipelines stage. stage and reassembly consist | Existing reassembly pipelines commonly consist of a local matching stage and a global compositions stage. | 39,283 |
time-critical a multi-object applications. tracking in problem video Online is analysis fundamental | Online multi-object tracking is a fundamental problem in time-critical video analysis applications. | 39,284 |
qualitatively the The algorithm. and experiments conducted the effectiveness quantitatively of demonstrate | The experiments conducted quantitatively and qualitatively demonstrate the effectiveness of the algorithm. | 39,285 |
depth propose We a fully architecture network. end-to-end an convolutional with for also inference | We also propose an architecture for end-to-end depth inference with a fully convolutional network. | 39,286 |
This be security to is potential issue. phenomenon a considered | This phenomenon is considered to be a potential security issue. | 39,287 |
unknown. shared harmful characteristics perturbations such However, of the remain the directions of | However, the characteristics of the shared directions of such harmful perturbations remain unknown. | 39,288 |
stage architecture. structure recurrent-auto to encoder We RNN with the cascade form decoder a a | We cascade the RNN structure with a decoder stage to form a recurrent-auto encoder architecture. | 39,289 |
is the backpropagation. regarding during prior waveform Moreover, information and structure incorporated initialization | Moreover, prior information regarding the waveform structure is incorporated during initialization and backpropagation. | 39,290 |
under robustness the desiderata a the Relevance addition of concern irrelevant consequence information. of relation | Relevance desiderata concern the robustness of a consequence relation under the addition of irrelevant information. | 39,291 |
of semantic to (ir)relevance syntactic what considerations. and amounts For we use account an | For an account of what (ir)relevance amounts to we use syntactic and semantic considerations. | 39,292 |
known non-monotonic criteria relevance are semantic logic. Some from | Some semantic relevance criteria are known from non-monotonic logic. | 39,293 |
investigate of relevance paper warrant properties this structured that In we argumentation desiderata. systems | In this paper we investigate properties of structured argumentation systems that warrant relevance desiderata. | 39,294 |
recently success single-image super-resolution great achieved (SISR). Convolutional have neural networks (CNNs) in | Convolutional neural networks (CNNs) have recently achieved great success in single-image super-resolution (SISR). | 39,295 |
textural tend produce details. these miss and outputs over-smoothed some However, to methods | However, these methods tend to produce over-smoothed outputs and miss some textural details. | 39,296 |
applied Learning impressive to this successfully been results. Deep achieved problem and methods have have | Deep Learning methods have been successfully applied to this problem and have achieved impressive results. | 39,297 |
amount labeled of data. require However, methods large training a these | However, these methods require a large amount of labeled training data. | 39,298 |
Each group adversarial realistic through images is generate used to training. then | Each group is then used to generate realistic images through adversarial training. | 39,299 |
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