text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
well Our even hand, method, other datasets. transferred when performs on between the | Our method, on the other hand, performs well even when transferred between datasets. | 37,900 |
The estimate to task between visual person person images. re-identification similarities robustly requires | The person re-identification task requires to robustly estimate visual similarities between person images. | 37,901 |
not similarity be hard of samples the estimation a As some accurate. might result, | As a result, the similarity estimation of some hard samples might not be accurate. | 37,902 |
relation features for similarity prediction. such be achieved probe-gallery estimation can by using updated Accurate | Accurate similarity estimation can be achieved by using such updated probe-gallery relation features for prediction. | 37,903 |
method validated The datasets. person effectiveness three on re-identification proposed public of our is | The effectiveness of our proposed method is validated on three public person re-identification datasets. | 37,904 |
is in people Automated counting of task. crowd a challenging images | Automated counting of people in crowd images is a challenging task. | 37,905 |
large in in appear major diversity the the difficulty from The stems crowds. people way | The major difficulty stems from the large diversity in the way people appear in crowds. | 37,906 |
creating experts recursively, two every networks The split at are again division. child | The child networks are again split recursively, creating two experts at every division. | 37,907 |
major count model datasets. achieves on higher proposed The crowd accuracy | The proposed model achieves higher count accuracy on major crowd datasets. | 37,908 |
the we analyse characteristics mined Further, specialties automatically our method. by of | Further, we analyse the characteristics of specialties mined automatically by our method. | 37,909 |
Electric is electric energy important meter in An component an power service. | An Electric power meter is an important component in electric energy service. | 37,910 |
complained have meter. about the reading the In past, inaccurate consumers electric of many | In the past, many consumers have complained about reading inaccurate of the electric meter. | 37,911 |
of an This RFID development electrical reader. presents with research power the meter equipped | This research presents the development of an electrical power meter equipped with RFID reader. | 37,912 |
dominated are RCNN. region-based segmentation by such Object as and detection instance methods Mask | Object detection and instance segmentation are dominated by region-based methods such as Mask RCNN. | 37,913 |
a the We rate real propose world detection improves in conditions. algorithm new which | We propose a new algorithm which improves the detection rate in real world conditions. | 37,914 |
which has scheme speed. been added processing the tracking also A simple improves | A simple tracking scheme has also been added which improves the processing speed. | 37,915 |
proposed the algorithms outperformed performance. of real-time while the achieving state art algorithm The | The proposed algorithm outperformed the state of the art algorithms while achieving real-time performance. | 37,916 |
(MAC) input. are billions operations intensive, compute multiply-accumulate CNNs of per requiring However, | However, CNNs are compute intensive, requiring billions of multiply-accumulate (MAC) operations per input. | 37,917 |
the inherent damages This correlations among the data. consequently | This consequently damages the inherent correlations among the data. | 37,918 |
for affine Besides, is used practical enough not the applications. methods these in constraint flexible | Besides, the affine constraint used in these methods is not flexible enough for practical applications. | 37,919 |
literature We to references code. also relevant of provide and the most | We also provide references to most of the relevant literature and code. | 37,920 |
computational solutions their in presented complexity. performance and vary The | The solutions presented vary in their performance and computational complexity. | 37,921 |
performance simulations. is these compared of The evaluated via solutions and | The performance of these solutions is evaluated and compared via simulations. | 37,922 |
work, sharp In make post-processing. boundaries is this produce to the without aim CNNs | In this work, the aim is to make CNNs produce sharp boundaries without post-processing. | 37,923 |
which tackle bottom-up/top-down to an the adopts network we architecture propose end-to-end task. the Moreover, | Moreover, we propose an end-to-end network which adopts the bottom-up/top-down architecture to tackle the task. | 37,924 |
We results. following the on our find based closed-form solution | We find the closed-form solution based on our following results. | 37,925 |
same the The is neighboring eigenfunction points. the a of sign on low-frequency | The sign of a low-frequency eigenfunction is the same on the neighboring points. | 37,926 |
knowledge natural in discover trained further The networks scenes. visual are to applied | The trained networks are further applied to discover visual knowledge in natural scenes. | 37,927 |
model then can and lightweight, sophisticated be This for editing. video used image | This model can then be used for lightweight, sophisticated video and image editing. | 37,928 |
our editing. for video We of show using framework also face examples | We also show examples of using our framework for video face editing. | 37,929 |
each are the by corresponding availability such limited scans of However, modality. of techniques | However, such techniques are limited by the availability of corresponding scans of each modality. | 37,930 |
method classification. evaluated Alzheimer's of of efficacy is the in disease The context proposed the | The efficacy of the proposed method is evaluated in the context of Alzheimer's disease classification. | 37,931 |
features residual attenuation. First, without is to network employed hierarchical explore adapted an | First, an adapted residual network is employed to explore hierarchical features without attenuation. | 37,932 |
usually works Previous video clips. video captioning on focus on | Previous works on video captioning usually focus on video clips. | 37,933 |
regions. some The Hungarian algorithm matching performed unmatched is permitting via | The matching is performed via Hungarian algorithm permitting some unmatched regions. | 37,934 |
The similarity context is proposed a clustering the set of employed shapes. of measure in | The proposed similarity measure is employed in the context of clustering a set of shapes. | 37,935 |
degradation common a is source. Image blur | Image blur is a common degradation source. | 37,936 |
motion presence the In with of this focus work, super-resolution task the on we blur. | In this work, we focus on the super-resolution task with the presence of motion blur. | 37,937 |
very role image deblurring applications. multimedia important and Blind vision a plays many in | Blind image deblurring plays a very important role in many vision and multimedia applications. | 37,938 |
is established framework In the above to work, issues. a this address collaborative learning | In this work, a collaborative learning framework is established to address the above issues. | 37,939 |
to similarities person images. robustly between measure re-identification aims Person | Person re-identification aims to robustly measure similarities between person images. | 37,940 |
variation The significant challenges poses and accurate viewing of re-identification. person angles person for | The significant variation of person poses and viewing angles challenges for accurate person re-identification. | 37,941 |
depends dramatic ads climax particular, In changes sentiment. of in on structure the in | In the dramatic structure of ads in particular, climax depends on changes in sentiment. | 37,942 |
to of structure ads study video the dynamic We automatically. dedicate our understand | We dedicate our study to understand the dynamic structure of video ads automatically. | 37,943 |
use supervised to unsupervised both and predict We then methods the climax. | We then use both unsupervised and supervised methods to predict the climax. | 37,944 |
complex has problem six solutions (including We that the generically show ones). | We show that the problem generically has six solutions (including complex ones). | 37,945 |
stable that experiments correct, is numerically robust. demonstrate and method The the | The experiments demonstrate that the method is correct, numerically stable and robust. | 37,946 |
modalities a different from task. challenging Learning is | Learning from different modalities is a challenging task. | 37,947 |
person. have exaggerations a facial features of of Caricature | Caricature have exaggerations of facial features of a person. | 37,948 |
the subbands. smoothing The of the of highest coefficients method is a on based | The method is based on a smoothing of the coefficients of the highest subbands. | 37,949 |
the methods favorably most Denoising results the of use moment. compare at to in | Denoising results compare favorably to the most of methods in use at the moment. | 37,950 |
such Gram matrix, statistics, to these second-order used textures. In describe models, as are | In these models, second-order statistics, such as Gram matrix, are used to describe textures. | 37,951 |
further Style where to apply We create our Neural Transfer, can styles. we mixed scheme | We further apply our scheme to Neural Style Transfer, where we can create mixed styles. | 37,952 |
experiments demonstrate results. our achieve method that The can state-of-the-art | The experiments demonstrate that our method can achieve state-of-the-art results. | 37,953 |
robots. paper aspect explores of This visual mobile odometry the for methods deep | This paper explores the aspect of deep visual odometry methods for mobile robots. | 37,954 |
odometry making successful. navigation this been in instrumental Visual has | Visual odometry has been instrumental in making this navigation successful. | 37,955 |
can accurate mobile in facilitate findings. map more A robots localization for and dense | A dense map in mobile robots can facilitate for localization and more accurate findings. | 37,956 |
proposed show benchmark datasets FGVC our efficacy the on of method. Experiments | Experiments on benchmark FGVC datasets show the efficacy of our proposed method. | 37,957 |
is the greatly limited deep methods. metric performance of However, by sampling traditional learning | However, the performance of deep metric learning is greatly limited by traditional sampling methods. | 37,958 |
Due the video emergence Generative exceptional witnessed Networks, has breakthroughs. to of synthesis Adversarial | Due to the emergence of Generative Adversarial Networks, video synthesis has witnessed exceptional breakthroughs. | 37,959 |
methods proper However, in control dynamics representation videos. to lack the existing explicitly a | However, existing methods lack a proper representation to explicitly control the dynamics in videos. | 37,960 |
standardized A individual templates. central task data to volumes to computational map is | A central computational task is to map individual data volumes to standardized templates. | 37,961 |
the of diffeomorphic template. the subgroup acting group form stabilizer the on These | These form the stabilizer subgroup of the diffeomorphic group acting on the template. | 37,962 |
of provides estimates form. volume the reduced-variance This | This provides reduced-variance estimates of the volume form. | 37,963 |
derive the for variances the deformations. in bounds small We of limit Cramer-Rao | We derive Cramer-Rao bounds for the variances in the limit of small deformations. | 37,964 |
selected each public the detailed are The for provided use. annotations of categories for | The detailed annotations for each of the selected categories are provided for public use. | 37,965 |
Specifically, learns field the generative i.e. that propose a network we correspondence to predict deep | Specifically, we propose a deep generative network that learns to predict the correspondence field i.e. | 37,966 |
map a image views camera between stereo in setting. disparity the calibrated two | the disparity map between two image views in a calibrated stereo camera setting. | 37,967 |
capability long been has inferences processes desired. regarding physical explainable making of The | The capability of making explainable inferences regarding physical processes has long been desired. | 37,968 |
fundamental motion. object One physical is process | One fundamental physical process is object motion. | 37,969 |
However, object qualitative motion three-dimensional has been suitable theory no space. proposed there for in | However, there has been no suitable qualitative theory proposed for object motion in three-dimensional space. | 37,970 |
to objects. what causes action infer the We of these want movement | We want to infer what action causes the movement of these objects. | 37,971 |
multi-center studies acquisition a variety protocols. necessarily wide of initiatives are Modern with neuroimaging | Modern neuroimaging studies are necessarily multi-center initiatives with a wide variety of acquisition protocols. | 37,972 |
paradigm the of developments restoration. learning image revolutionized have in deep Recent | Recent developments in deep learning have revolutionized the paradigm of image restoration. | 37,973 |
fully hence differentiable end-to-end trained. proposed The is can pipeline be and restoration | The proposed restoration pipeline is fully differentiable and hence can be end-to-end trained. | 37,974 |
given results Experimental less prone is to our data. training demonstrate work that small overfitting | Experimental results demonstrate that our work is less prone to overfitting given small training data. | 37,975 |
is biomarker linked Cell function. that an shape important directly is to cell | Cell shape is an important biomarker that is directly linked to cell function. | 37,976 |
temporal much less cell cell understood. morphodynamics, is namely fluctuation the shape However, of | However, cell morphodynamics, namely the temporal fluctuation of cell shape is much less understood. | 37,977 |
cell evolution a of temporal into As mapped is result, morphodynamics morphological phenotypes. | As a result, cell morphodynamics is mapped into temporal evolution of morphological phenotypes. | 37,978 |
Rho-signaling enhances and that the manipulating transitions. find phenotype We morphodynamics | We find that manipulating Rho-signaling enhances the morphodynamics and phenotype transitions. | 37,979 |
vehicles. perception and control of networks have components become neural Deep key self-driving | Deep neural perception and control networks have become key components of self-driving vehicles. | 37,980 |
consists a introspective approach explanations two parts. We of to new propose which | We propose a new approach to introspective explanations which consists of two parts. | 37,981 |
The controller's that the output. image identifies attention regions influence network's potentially | The controller's attention identifies image regions that potentially influence the network's output. | 37,982 |
model textual actions. of video-to-text we explanations Second, to produce use attention-based model an | Second, we use an attention-based video-to-text model to produce textual explanations of model actions. | 37,983 |
weak-alignment. strong- attention explore alignment, two to We and approaches | We explore two approaches to attention alignment, strong- and weak-alignment. | 37,984 |
However, and pleasing required. a explanation is visually class-discriminative more | However, a more class-discriminative and visually pleasing explanation is required. | 37,985 |
method multi-scale incorporate difference this that prediction is model-agnostic. We a regional concept into | We incorporate this regional multi-scale concept into a prediction difference method that is model-agnostic. | 37,986 |
regression and suppression rely Modern objects. detectors object non-maximum bounding CNN-based localize box on to | Modern CNN-based object detectors rely on bounding box regression and non-maximum suppression to localize objects. | 37,987 |
labels reflect classification class While confidence absent. the probabilities is confidence, for localization naturally | While the probabilities for class labels naturally reflect classification confidence, localization confidence is absent. | 37,988 |
makes during regression or suppressed bounding iterative during even NMS. boxes localized properly This degenerate | This makes properly localized bounding boxes degenerate during iterative regression or even suppressed during NMS. | 37,989 |
A is to of a kernel used separation. between better version class MMC obtain | A kernel version of MMC is used to obtain a better between class separation. | 37,990 |
on sidekick introduce learning of policy capitalize imbalance to We this observability. | We introduce sidekick policy learning to capitalize on this imbalance of observability. | 37,991 |
of visualization resulting policies, interpretation a develop To technique. support the policy novel we also | To support interpretation of the resulting policies, we also develop a novel policy visualization technique. | 37,992 |
images applications. binocular stereo a Disparity finds estimation range for of wide | Disparity estimation for binocular stereo images finds a wide range of applications. | 37,993 |
and work supervised semantic in The both cues unsupervised manners. well | The semantic cues work well in both unsupervised and supervised manners. | 37,994 |
scheme, data generate active In users sparsity. transmit packets the time-slotted random and RSL-MUD with | In the time-slotted RSL-MUD scheme, active users generate and transmit data packets with random sparsity. | 37,995 |
location vision not require does and sensors than additional SafeDrive data. other | SafeDrive does not require additional sensors other than vision and location data. | 37,996 |
non-invasive technique diseases. is used The the detection electrocardiogram a (ECG) for cardiac widely of | The electrocardiogram (ECG) is a non-invasive technique widely used for the detection of cardiac diseases. | 37,997 |
is face This super-resolution. on paper image and | This paper is on image and face super-resolution. | 37,998 |
mean both In squared error network's variance. has our the cases, lowest | In both cases, our network's mean squared error has the lowest variance. | 37,999 |
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