text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
infinite-dimensional approximate Finally, these we via CovDs approximations. | Finally, we approximate infinite-dimensional CovDs via these approximations. | 36,400 |
task our of set image classification. Empirically, the to apply framework we | Empirically, we apply our framework to the task of image set classification. | 36,401 |
for outperforms existing abnormality detection. Cardiac-MOS all work also binary | Cardiac-MOS also outperforms all existing work for binary abnormality detection. | 36,402 |
future in potential scoring motion demonstrates clinical As first automatic the Cardiac-MOS great solution, application. | As the first automatic motion scoring solution, Cardiac-MOS demonstrates great potential in future clinical application. | 36,403 |
Both research. available are dataset the for the and code | Both the code and the dataset are available for research. | 36,404 |
two step follows process. a method Our | Our method follows a two step process. | 36,405 |
a is First, trained. B domain autoencoder variational for | First, a variational autoencoder for domain B is trained. | 36,406 |
using model Hashing our Deep Supervised we Embeddings (WDHT). name Accordingly, Tag Weakly | Accordingly, we name our model Weakly Supervised Deep Hashing using Tag Embeddings (WDHT). | 36,407 |
mentioned. some for is work ideal that In future addition, have areas | In addition, some areas that is ideal for future work have mentioned. | 36,408 |
the the Strength is node Received unknown trilateration. location estimated In Signal using (RSS), | In the Received Signal Strength (RSS), the unknown node location is estimated using trilateration. | 36,409 |
attention which Specific in become coherent). is (or spatially multipath scenarios correlated for signals given | Specific attention is given for multipath scenarios in which signals become spatially correlated (or coherent). | 36,410 |
approach and useful proposed Our offers practically into neural is interpretability. insights | Our proposed approach is practically useful and offers insights into neural interpretability. | 36,411 |
assumption algorithms. The of typical rigidity SLAM is scene in | The assumption of scene rigidity is typical in SLAM algorithms. | 36,412 |
scenarios monocular, dynamic DynaSLAM is for RGB-D in stereo robust configurations. and | DynaSLAM is robust in dynamic scenarios for monocular, stereo and RGB-D configurations. | 36,413 |
monocular, our stereo in datasets. evaluate public We and RGB-D system | We evaluate our system in public monocular, stereo and RGB-D datasets. | 36,414 |
visual DynaSLAM dynamic standard accuracy baselines outperforms the in scenarios. SLAM highly of | DynaSLAM outperforms the accuracy of standard visual SLAM baselines in highly dynamic scenarios. | 36,415 |
small-scale achieved results of in excellent datasets. landmark problem recognition has The | The problem of landmark recognition has achieved excellent results in small-scale datasets. | 36,416 |
of the design effectiveness the we assess waveform approach proposed Finally, by simulations. numerical | Finally, we assess the effectiveness of the proposed waveform design approach by numerical simulations. | 36,417 |
to to add network. set samples identified neural the Bayesian using are Informative a training | Informative samples to add to the training set are identified using a Bayesian neural network. | 36,418 |
piecewise function Mumford-Shah approximates The smooth a functional function. by a | The Mumford-Shah functional approximates a function by a piecewise smooth function. | 36,419 |
an discretize Ambrosio-Tortorelli this Calculus via Exterior Discrete In we approximation formulation. paper, a | In this paper, we discretize an Ambrosio-Tortorelli approximation via a Discrete Exterior Calculus formulation. | 36,420 |
of for is localization the automatic videos. endoscopic essential tool task Surgical analysis an | Surgical tool localization is an essential task for the automatic analysis of endoscopic videos. | 36,421 |
annotated the data weak with circumvent supervision. In we to this lack work, of propose | In this work, we propose to circumvent the lack of annotated data with weak supervision. | 36,422 |
proposed great spinal disease method clinical in diagnoses. potential has The | The proposed method has great potential in clinical spinal disease diagnoses. | 36,423 |
becomes image an When translation is data not accessible, problem. training ill-posed paired | When paired training data is not accessible, image translation becomes an ill-posed problem. | 36,424 |
to a single separating approach reflection an from image. present We | We present an approach to separating reflection from a single image. | 36,425 |
separation. layer novel We loss pixel-level exclusion also that enforces a propose | We also propose a novel exclusion loss that enforces pixel-level layer separation. | 36,426 |
foveated images, pixel image produce spatially density. with we an To rasterize varying to | To produce foveated images, we rasterize to an image with spatially varying pixel density. | 36,427 |
set approach. of our perceptual of user A the demonstrates studies efficacy | A set of perceptual user studies demonstrates the efficacy of our approach. | 36,428 |
the These processing task not classification jointly hand. are stages, at optimizing however, | These processing stages, however, are not jointly optimizing the classification task at hand. | 36,429 |
of information is label into Contextual means recurrent by ReuseNet. incorporated FuseNet a version called | Contextual label information is incorporated into FuseNet by means of a recurrent version called ReuseNet. | 36,430 |
regularization fields. and resampling and such map conditional as random pansharpening through interpolation, | pansharpening and resampling through interpolation, and map regularization such as conditional random fields. | 36,431 |
FuseNet approaches baseline quantitative surpass qualitative in results. ReuseNet and the and both | FuseNet and ReuseNet surpass the baseline approaches in both quantitative and qualitative results. | 36,432 |
Finally, games present suite. Atari preliminary the we results in of a subset | Finally, we present preliminary results in a subset of the Atari games suite. | 36,433 |
enables new image This acquisition results. analysis of applications optimising possible towards best further | This further enables new applications of optimising image acquisition towards best possible analysis results. | 36,434 |
in surveillance. It and motion capture applications has broad | It has broad applications in motion capture and surveillance. | 36,435 |
are detecting to due and not complexity dynamic of the However, straightforward. tracking structure, human | However, due to the complexity of human dynamic structure, detecting and tracking are not straightforward. | 36,436 |
detection Consequently, developed. different techniques have with and tracking and been different performance applications | Consequently, different detection and tracking techniques with different applications and performance have been developed. | 36,437 |
technique a To indispensable. is fusion this problem, avoid using multi-sensor | To avoid this problem, using a multi-sensor fusion technique is indispensable. | 36,438 |
survey detection, are In multi-sensor this presented. tracking methods of a paper, fusion comparative and | In this paper, a comparative survey of detection, tracking and multi-sensor fusion methods are presented. | 36,439 |
as can tractography. as a direct TOMs prior input even act for or | TOMs can act as a prior or even as direct input for tractography. | 36,440 |
the learn fully-convolutional We use encoder-decoder mapping. neural an network required architecture to | We use an encoder-decoder fully-convolutional neural network architecture to learn the required mapping. | 36,441 |
available. data code are openly Our and our | Our code and our data are openly available. | 36,442 |
grid outages Simulations the due reproduce behavior the of of dynamic post-contingency generators. to | Simulations reproduce the post-contingency dynamic behavior of the grid due to outages of generators. | 36,443 |
the paper. images in self-ception Some included are | Some self-ception images are included in the paper. | 36,444 |
numerous records from scene. field light A real-world rays light a | A light field records numerous light rays from a real-world scene. | 36,445 |
dense devices a by light existing However, capturing time-consuming is a process. field | However, capturing a dense light field by existing devices is a time-consuming process. | 36,446 |
significant correlation is constraint spatial dimensions. The and related between a depth most angular | The most significant constraint is a depth related correlation between angular and spatial dimensions. | 36,447 |
method constraint employing the deep out a network. by working error-sensitive avoids neural Our | Our method avoids working out the error-sensitive constraint by employing a deep neural network. | 36,448 |
careful fine-grained datasets. part categorization many fact, annotations In are in available | In fact, careful part annotations are available in many fine-grained categorization datasets. | 36,449 |
is image-level of obtained aggregating region-level prediction by products element-wise The these probabilities. | The image-level prediction is obtained by aggregating element-wise products of these region-level probabilities. | 36,450 |
proposed. To detection problem, and address this efficient YOLO were as SSD frameworks object such | To address this problem, efficient object detection frameworks such as YOLO and SSD were proposed. | 36,451 |
improved, speed comes Although accuracy. greatly the it with price lower of a is | Although the speed is greatly improved, it comes with a price of lower accuracy. | 36,452 |
Fire In SSD. paper, an named propose efficient SSD this we | In this paper, we propose an efficient SSD named Fire SSD. | 36,453 |
input transformations. framework and takes sets images labeled The preprocessing predefined as of | The framework takes as input sets of labeled images and predefined preprocessing transformations. | 36,454 |
and the the individual optimal preprocessing images. learns jointly for It transformations classifier | It jointly learns the classifier and the optimal preprocessing transformations for individual images. | 36,455 |
computationally cheaper said version) distribution. and of an approximate | an approximate and computationally cheaper version) of said distribution. | 36,456 |
exact MCMC sampling still accelerates the DA-MCMC distribution. applications, complex in targeting while | DA-MCMC accelerates MCMC sampling in complex applications, while still targeting the exact distribution. | 36,457 |
a algorithm. computationally design faster, We approximate, DA-MCMC albeit | We design a computationally faster, albeit approximate, DA-MCMC algorithm. | 36,458 |
highly dependent. problem However, acceleration the is | However, the acceleration is highly problem dependent. | 36,459 |
antigen onto update predicted for The maps competitive receptors. scheme dynamics optimal commonly considered | The predicted optimal update scheme maps onto commonly considered competitive dynamics for antigen receptors. | 36,460 |
labeled deep Existing large models amount of data. require network a | Existing deep network models require a large amount of labeled data. | 36,461 |
to framework TD-GAN be can easily adapted general other The is tasks. learning and | The TD-GAN framework is general and can be easily adapted to other learning tasks. | 36,462 |
performances. filter currently terms of (CF) based are trackers top Correlation ranked their in | Correlation filter (CF) based trackers are currently ranked top in terms of their performances. | 36,463 |
applications. a high intensity value in diagnosis pain has assessment Automatic disease | Automatic pain intensity assessment has a high value in disease diagnosis applications. | 36,464 |
simulation promising filtering evaluated algorithm scenario, used results. a highly with is The over commonly | The algorithm is evaluated over a commonly used filtering simulation scenario, with highly promising results. | 36,465 |
breast cancerous poses coherency (BC) cells high to inherently significant challenges Also, cancer multi-classification. of | Also, inherently high coherency of cancerous cells poses significant challenges to breast cancer (BC) multi-classification. | 36,466 |
investigates structural bridge of recognition video paper using the data. This components automated | This paper investigates the automated recognition of structural bridge components using video data. | 36,467 |
is machine A train learning created video to algorithms. the simulated new dataset | A new simulated video dataset is created to train the machine learning algorithms. | 36,468 |
video collected field. Results presented simulated as in the as for well video are data, | Results are presented for simulated video data, as well as video collected in the field. | 36,469 |
the indispensable understanding in Scene within scene. an a component parsing is semantics | Scene parsing is an indispensable component in understanding the semantics within a scene. | 36,470 |
on parsing. networks on based scene fully have neural Recently, new convolutional records methods achieved | Recently, methods based on fully convolutional neural networks have achieved new records on scene parsing. | 36,471 |
task. efficiency counterpart FFT of CCIM The in that of remarkably the exceeds our | The efficiency of CCIM exceeds that of the FFT counterpart remarkably in our task. | 36,472 |
is time applied the architecture attributes This is such first for problem. fine-grained the classification | This is the first time such architecture is applied for the fine-grained attributes classification problem. | 36,473 |
a Convolutional with method competitive baseline. compared Neural Network We the proposed deep | We compared the proposed method with a competitive deep Convolutional Neural Network baseline. | 36,474 |
exist practice. disadvantages there in actually two with However, GRM | However, there actually exist two disadvantages with GRM in practice. | 36,475 |
reconstruction by the measurements randomly performances. CS cannot obtained is Another sufficient GRM that provide | Another is that the CS measurements randomly obtained by GRM cannot provide sufficient reconstruction performances. | 36,476 |
solve STP. this an algorithm propose paper, In we the to | In this paper, we propose an algorithm to solve the STP. | 36,477 |
for New proposed. score a vertex intensification heuristics system constructive are and purpose | New constructive heuristics and a vertex score system for intensification purpose are proposed. | 36,478 |
benchmarks which shows on algorithm is set The encouraging of a tested results. | The algorithm is tested on a set of benchmarks which shows encouraging results. | 36,479 |
achieve PSV evaluate result. our We method an and dataset, advanced on | We evaluate our method on PSV dataset, and achieve an advanced result. | 36,480 |
step therefore automating workflow. the in of key cells a inspection Automated segmentation visual is | Automated segmentation of cells is therefore a key step in automating the visual inspection workflow. | 36,481 |
have Their as anisotropy, such analyzed extensively. been spectra, discrepancy, properties or progressiveness | Their properties such as discrepancy, spectra, anisotropy, or progressiveness have been analyzed extensively. | 36,482 |
correlations extractor can The via CNN spatial benefit component. considering also CRF from the feature | The CNN feature extractor can also benefit from considering spatial correlations via the CRF component. | 36,483 |
Answering. propose for Question Visual paper, graph-based this we In approach a novel | In this paper, we propose a novel graph-based approach for Visual Question Answering. | 36,484 |
by experience visuo-tactile simple body as theirs parts just stimulation. can Humans fake synchronous | Humans can experience fake body parts as theirs just by simple visuo-tactile synchronous stimulation. | 36,485 |
example, procedurally, can or from For manually. abstracted they created measurements, generated be raw | For example, they can be abstracted from raw measurements, generated procedurally, or created manually. | 36,486 |
consistent distributions The neighborhoods. to are various GANs and buildings synchronized style produce over | The various GANs are synchronized to produce consistent style distributions over buildings and neighborhoods. | 36,487 |
the variability user We of the with output. provide the control over direct | We provide the user with direct control over the variability of the output. | 36,488 |
on We large-scale examples. demonstrate several our system | We demonstrate our system on several large-scale examples. | 36,489 |
image important patient-specific an anatomy. plays in Semantic role modeling segmentation | Semantic image segmentation plays an important role in modeling patient-specific anatomy. | 36,490 |
and is medical both time-consuming image Manual annotation expensive. | Manual medical image annotation is both time-consuming and expensive. | 36,491 |
time vessels to hours minutes. Kid-Net reduces segmentation from of matter kidney | Kid-Net reduces kidney vessels segmentation time from matter of hours to minutes. | 36,492 |
and classification utilized and Feature up-sampling higher down-sampling to achieve accuracies. localization are | Feature down-sampling and up-sampling are utilized to achieve higher classification and localization accuracies. | 36,493 |
competence. on challenging evaluation dataset show a results Quantitative qualitative and testing Kid-Net | Quantitative and qualitative evaluation results on a challenging testing dataset show Kid-Net competence. | 36,494 |
This to cases. degradation the in leads some performance fusion | This leads to the fusion performance degradation in some cases. | 36,495 |
features source Firstly, deep from network the extract residual is images. to used (ResNet) | Firstly, the residual network (ResNet) is used to extract deep features from source images. | 36,496 |
maps. the and obtain is Then weight ZCA to utilized normalize features deep initial | Then ZCA is utilized to normalize the deep features and obtain initial weight maps. | 36,497 |
using Finally, a reconstructed strategy. is image the weighted-averaging fused | Finally, the fused image is reconstructed using a weighted-averaging strategy. | 36,498 |
integrates provide information Multi-task network neural that a jointly distinct from architectures mechanism sources. | Multi-task neural network architectures provide a mechanism that jointly integrates information from distinct sources. | 36,499 |
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