text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
an increasing new Thus, developed recent number have in years. of been algorithms | Thus, an increasing number of new algorithms have been developed in recent years. | 39,500 |
of requirements describes platform. structure, this paper the building and This steps, | This paper describes the steps, structure, and requirements of building this platform. | 39,501 |
this understand to help is study Case platform. presented | Case study is presented to help understand this platform. | 39,502 |
real data often losses. not while Synthetic unsupervised heuristic to videos, generalize require methods does | Synthetic data often does not generalize to real videos, while unsupervised methods require heuristic losses. | 39,503 |
as for interpolation optical a task flow. investigate frame we Here, proxy | Here, we investigate frame interpolation as a proxy task for optical flow. | 39,504 |
a we train Using interpolation. real for unsupervised movies, CNN temporal | Using real movies, we train a CNN unsupervised for temporal interpolation. | 39,505 |
but Such cannot a implicitly handle untextured network estimates regions. motion, | Such a network implicitly estimates motion, but cannot handle untextured regions. | 39,506 |
starting complex a to point model interactions. models are suitable social Multi-agent | Multi-agent models are a suitable starting point to model complex social interactions. | 39,507 |
practices agents in practical We argue that standard facilitate interactions. social of social the reasoning | We argue that social practices facilitate the practical reasoning of agents in standard social interactions. | 39,508 |
available many only form. In cases, pixel is however, in data | In many cases, however, data is only available in pixel form. | 39,509 |
a domain high-level a method generating We (e.g. directly in images for present | We present a method for generating images directly in a high-level domain (e.g. | 39,510 |
for pairwise data. the real strokes), need brush without | brush strokes), without the need for real pairwise data. | 39,511 |
the of embeddings knowledge increases. gradually the RNKN exhibits number as training of epochs interpretation | RNKN gradually exhibits the interpretation of knowledge embeddings as the number of training epochs increases. | 39,512 |
network multilevel (PMA). corresponding pose-guided contents, a attention To propose visual multi-granularity we the exploit | To exploit the multilevel corresponding visual contents, we propose a pose-guided multi-granularity attention network (PMA). | 39,513 |
fitting is One of studied of the the main statistics models. in problems | One of the main problems studied in statistics is the fitting of models. | 39,514 |
with explain would Ideally, like we as parameters a few dataset large as possible. to | Ideally, we would like to explain a large dataset with as few parameters as possible. | 39,515 |
this automatizing been have numerous process. at There attempts | There have been numerous attempts at automatizing this process. | 39,516 |
angle algorithm, the holonomic HELARS. least We call this extended or regression | We call this the holonomic extended least angle regression algorithm, or HELARS. | 39,517 |
are for SINR both compared resulting The experiments and interference discussed. | The resulting SINR for both interference experiments are compared and discussed. | 39,518 |
and HCI the these to MAHNOB DEAP applied schemes thus databases. We | We thus applied these schemes to the HCI MAHNOB and DEAP databases. | 39,519 |
we Head model. paper, an Detector, this trainable propose Convolutional head detection end-to-end In FCHD-Fully | In this paper, we propose FCHD-Fully Convolutional Head Detector, an end-to-end trainable head detection model. | 39,520 |
This makes memory our low lightweight with and inference model requirements. time | This makes our model lightweight with low inference time and memory requirements. | 39,521 |
are bounding when labeling that still the ambiguities observe introduced However, we boxes. | However, we observe that ambiguities are still introduced when labeling the bounding boxes. | 39,522 |
architectures the loss with improves nearly additional no various of greatly computation. Our accuracies localization | Our loss greatly improves the localization accuracies of various architectures with nearly no additional computation. | 39,523 |
github.com/yihui-he/KL-Loss code at: Our and are available models . | Our code and models are available at: github.com/yihui-he/KL-Loss . | 39,524 |
model the several once fine-tuning. without tasks to This allows explicit solve at | This allows the model to solve several tasks at once without explicit fine-tuning. | 39,525 |
designed approaches, our e.g. When model comparing to are for specifically state-of-the-art which | When comparing our model to state-of-the-art approaches, which are specifically designed for e.g. | 39,526 |
augment analyses data. services by can qualitative with gerontologists Such quantitative done | Such services can augment qualitative analyses done by gerontologists with quantitative data. | 39,527 |
The system as a Arianna+. mechanism home implemented referred reasoning has to in been smart | The reasoning mechanism has been implemented in a smart home system referred to as Arianna+. | 39,528 |
Results processes. indicate and scalability human recognition for activity robustness | Results indicate scalability and robustness for human activity recognition processes. | 39,529 |
and important number simple allows analytical a restriction a yet obtaining Such results. of | Such a restriction allows obtaining a number of simple and yet important analytical results. | 39,530 |
findings variance illustrate by in-depth evolution. our We of analysis the | We illustrate our findings by in-depth analysis of the variance evolution. | 39,531 |
This understand aims problem how two to (sisters, are brothers, and if people etc.) family-related | This problem aims to understand if two people are family-related and how (sisters, brothers, etc.) | 39,532 |
Solving applications. give to can varied problem this and rise tasks | Solving this problem can give rise to varied tasks and applications. | 39,533 |
problem. the article, we this Kinship-Verification solving Deep propose approach a using Learning for In | In this article, we propose using a Deep Learning approach for solving the Kinship-Verification problem. | 39,534 |
mask harmonized multi-site with imaging Even can advantages of studies. these the sequences, site-dependent variability | Even with harmonized imaging sequences, site-dependent variability can mask the advantages of these multi-site studies. | 39,535 |
edges increase notable for observed. in A was and ICC functional networks values resting-state also | A notable increase in ICC values for functional edges and resting-state networks was also observed. | 39,536 |
in to regression. found identifiability were affected Improvements not by be signal global | Improvements in identifiability were not found to be affected by global signal regression. | 39,537 |
include only the metabolic information models current gene However, level. at | However, current metabolic models only include information at the gene level. | 39,538 |
in context license our method the We of plates. automotive demonstrate | We demonstrate our method in the context of automotive license plates. | 39,539 |
Estimation of a facial shapes central face plays for animation. transfer and role | Estimation of facial shapes plays a central role for face transfer and animation. | 39,540 |
very tissue this therefore, is, segmentation Brain at challenging. age | Brain tissue segmentation at this age is, therefore, very challenging. | 39,541 |
dataset code be source Our open-sourced. will synthetic and | Our source code and synthetic dataset will be open-sourced. | 39,542 |
significant SR. in The accurate of a role correspondence plays generation video | The generation of accurate correspondence plays a significant role in video SR. | 39,543 |
deep in generation. are methods flows optical correspondence for LR However, existing based used learning | However, LR optical flows are used in existing deep learning based methods for correspondence generation. | 39,544 |
flows. the Then, optical motion is to performed compensation HR according | Then, motion compensation is performed according to the HR optical flows. | 39,545 |
real perform images. numerical we Finally, and synthetic experiments the on both | Finally, we perform the numerical experiments on both synthetic and real images. | 39,546 |
The vessel retinal on out quantitive is carried images. validation | The quantitive validation is carried out on retinal vessel images. | 39,547 |
that a the proposed promising The results performance. indeed indicate achieves model | The results indicate that the proposed model indeed achieves a promising performance. | 39,548 |
the task. in which vital We plays role this pooling a investigate method global | We investigate the global pooling method which plays a vital role in this task. | 39,549 |
the ILSVRC and the on We dataset. evaluate localization ability pixel-level classification benchmark | We evaluate the classification and pixel-level localization ability on the ILSVRC benchmark dataset. | 39,550 |
We that multi-task with GWAP a our module combines propose class-specific R-FCN. framework | We propose a multi-task framework that combines our class-specific GWAP module with R-FCN. | 39,551 |
with framework truth image-level and bounding The labels. ground few trained boxes is large-scale | The framework is trained with few ground truth bounding boxes and large-scale image-level labels. | 39,552 |
We dataset. on this PASCAL evaluate VOC framework | We evaluate this framework on PASCAL VOC dataset. | 39,553 |
accuracy model is of The hierarchical through the ensures which detection. obtained the training, | The model is obtained through hierarchical training, which ensures the accuracy of the detection. | 39,554 |
advances recent on An learning. capitalize in alternative approach deep to would be | An alternative approach would be to capitalize on recent advances in deep learning. | 39,555 |
vision. estimation an computer in challenging yet pose task essential is Human | Human pose estimation is an essential yet challenging task in computer vision. | 39,556 |
architecture model. convolutional network with work, this In attention the a novel we combined proposed | In this work, we proposed a convolutional network architecture combined with the novel attention model. | 39,557 |
attention (ACNN). We network neural convolutional named it | We named it attention convolutional neural network (ACNN). | 39,558 |
ACNN to focus regions features. different on of input learns specific | ACNN learns to focus on specific regions of different input features. | 39,559 |
as background the "nothing-regions", body filtrate Early and parts. such stages redundant | Early stages filtrate the "nothing-regions", such as background and redundant body parts. | 39,560 |
State-of-the-art obtained the is MPII on performance benchmarks. | State-of-the-art performance is obtained on the MPII benchmarks. | 39,561 |
to model's Adversarial aim images by a a perturbing decision minimally target image. change target | Adversarial images aim to change a target model's decision by minimally perturbing a target image. | 39,562 |
task. person we scheme attention improve paper, present this mechanism In an re-identification to | In this paper, we present an attention mechanism scheme to improve person re-identification task. | 39,563 |
measurement, are oscilloscope digital improving and discussed. impairments system Device resolution | Device measurement, digital oscilloscope impairments and improving system resolution are discussed. | 39,564 |
recognition text for paired supervisory a using without any This work data. visual method presents | This work presents a method for visual text recognition without using any paired supervisory data. | 39,565 |
two-stage novel intra-mode. in approach a decision propose HEVC partition Therefore, CU we | Therefore, we propose a novel two-stage CU partition decision approach in HEVC intra-mode. | 39,566 |
Most effects apply image. existing the to the whole methods artistic of | Most of the existing methods apply artistic effects to the whole image. | 39,567 |
is filters. the to allow enough new method flexible of our Also, addition | Also, our method is flexible enough to allow the addition of new filters. | 39,568 |
We segmentation pre-trained segmentation dataset R-CNN instance on the network. COCO as use the Mask | We use pre-trained Mask R-CNN instance segmentation on the COCO dataset as the segmentation network. | 39,569 |
filters performed. use the results different on of are Experimental | Experimental results on the use of different filters are performed. | 39,570 |
of amount target perform propose a to limited we data. Then, with adaptation | Then, we propose to perform adaptation with a limited amount of target data. | 39,571 |
three by observations. The is framework motivated proposed | The proposed framework is motivated by three observations. | 39,572 |
between a Finally, evaluate association posteriori mode connectivity longitudinal outcomes. the we weights with neurocognitive | Finally, we evaluate a posteriori the association between connectivity mode weights with longitudinal neurocognitive outcomes. | 39,573 |
engineer inspections authorities municipal volunteers. structural These gfare by typically through conducted | These inspections gfare typically conducted by municipal authorities through structural engineer volunteers. | 39,574 |
limited spatial However, phosphenic very of images terms resolution (e.g. are in | However, phosphenic images are very limited in terms of spatial resolution (e.g. | 39,575 |
this of recognition under the indoor environments we study In vision. prosthetic work, simulated | In this work, we study the recognition of indoor environments under simulated prosthetic vision. | 39,576 |
can become easily. more sensors depth prevalent Meanwhile, be so maps depth acquired nowadays, | Meanwhile, depth sensors become prevalent nowadays, so depth maps can be acquired more easily. | 39,577 |
semantic studies are the segmentation task. few focus on there RGB-D However, that | However, there are few studies that focus on the RGB-D semantic segmentation task. | 39,578 |
to challenge. effectiveness depth information the a improve Exploiting is performance | Exploiting the depth information effectiveness to improve performance is a challenge. | 39,579 |
concept multiple modalities. sensor this We to data from extend incorporate Stixel | We extend this Stixel concept to incorporate data from multiple sensor modalities. | 39,580 |
variograms on signals extensions of Graph variograms are defined continuous for Euclidean space. used | Graph variograms are extensions of variograms used for signals defined on continuous Euclidean space. | 39,581 |
datasets However, to large are acquire. costly such labeled | However, such large labeled datasets are costly to acquire. | 39,582 |
scratch. SNNs from addresses the neuromorphic learning for temporal tutorial This | This tutorial addresses neuromorphic SNNs for temporal learning from the scratch. | 39,583 |
large remains in significant challenge a Detecting over objects areas satellite imagery analytics. small | Detecting small objects over large areas remains a significant challenge in satellite imagery analytics. | 39,584 |
scales For (e.g. very different objects of | For objects of very different scales (e.g. | 39,585 |
this In a proposed. enhancement algorithm is low-light paper, image gradient-based | In this paper, a gradient-based low-light image enhancement algorithm is proposed. | 39,586 |
addition, constraints In intensity-range the the for image we integration. involve | In addition, we involve the intensity-range constraints for the image integration. | 39,587 |
Experiments effectively proposed the demonstrate image enhancement images. low-light enhance that gradient-based can low-light the | Experiments demonstrate that the proposed gradient-based low-light image enhancement can effectively enhance the low-light images. | 39,588 |
In we of detectors scratch. object learning principles for DSOD, set contribute a design from | In DSOD, we contribute a set of design principles for learning object detectors from scratch. | 39,589 |
than models. better consistently more much compact with DSOD methods achieves state-of-the-art results the | DSOD achieves consistently better results than the state-of-the-art methods with much more compact models. | 39,590 |
the analytical also verify an based robustness our We of individual model develop to prediction. | We also develop an individual based model to verify the robustness of our analytical prediction. | 39,591 |
coevolutionary population cause unexpected However, prey patterns. small selection can sizes, for | However, for small population sizes, prey selection can cause unexpected coevolutionary patterns. | 39,592 |
Creativity of value, often in interestingness. and novelty, terms formulated is surprise | Creativity is often formulated in terms of novelty, value, surprise and interestingness. | 39,593 |
Experiments benefits of the network. proposed benefit show the the gLGCN | Experiments show the benefit of the benefits the proposed gLGCN network. | 39,594 |
Play-style learning. video introduce gameplay via problem Let's commentary the We machine of of generating | We introduce the problem of generating Let's Play-style commentary of gameplay video via machine learning. | 39,595 |
future commentary Play demonstrate promising generation. We towards Let's results | We demonstrate promising results towards future Let's Play commentary generation. | 39,596 |
pair of It removesthe ofdual-lens offline calibration every need individual for cameras. | It removesthe need of individual offline calibration for every pair ofdual-lens cameras. | 39,597 |
markers the introduced fiducial are to improve precision. overall Visual | Visual fiducial markers are introduced to improve the overall precision. | 39,598 |
segmentation semantic supervision prior detection. objectness an object and Class-agnostic knowledge both provides for segmentation | Class-agnostic segmentation supervision provides an objectness prior knowledge for both semantic segmentation and object detection. | 39,599 |
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