text stringlengths 27 153 | label stringlengths 27 153 | id int64 0 40k |
|---|---|---|
producing function of capable Leveraging is high-quality this a output. as guide, input color edge-aware | Leveraging color input as a guide, this function is capable of producing high-quality edge-aware output. | 37,800 |
Unlike manual works, matching of point clusters. existing require not we do annotation many | Unlike many existing works, we do not require manual annotation of matching point clusters. | 37,801 |
this set-based The i.e. of face is work recognition, objective | The objective of this work is set-based face recognition, i.e. | 37,802 |
implicitly these Both of set-wise classification. for during training learnt qualities are | Both of these qualities are learnt implicitly during training for set-wise classification. | 37,803 |
these this In paper, problem explore the relationship we domains. two between | In this paper, we explore the relationship between these two problem domains. | 37,804 |
capacity. the discussed is the system performance average of proposed of in terms hybrid The | The performance of the proposed hybrid system is discussed in terms of the average capacity. | 37,805 |
derived by analytical are Monte validated The simulations. Carlo expressions | The derived analytical expressions are validated by Monte Carlo simulations. | 37,806 |
of a is also provided. hybrid/PLC between A the hybrid comparison and parallel performance systems | A comparison between the performance of a parallel hybrid/PLC and hybrid systems is also provided. | 37,807 |
hybrid one. It found that the hybrid/PLC system the outperforms is | It is found that the hybrid/PLC system outperforms the hybrid one. | 37,808 |
attention. a lot Recently, style has of received transfer | Recently, style transfer has received a lot of attention. | 37,809 |
at intersections for intentions the drivers Understanding is autonomous critical vehicles. component a of | Understanding the intentions of drivers at intersections is a critical component for autonomous vehicles. | 37,810 |
we give paper contribution. this two In | In this paper we give two contribution. | 37,811 |
affects it system. such condition Epilepsy is a brain the neurological the nervous and that | Epilepsy is a neurological condition such that it affects the brain and the nervous system. | 37,812 |
great seizure patients. has of importance clinical epileptic in therapy Hence, identification | Hence, seizure identification has great importance in clinical therapy of epileptic patients. | 37,813 |
results higher than accuracies quite are published. These earlier | These accuracies are quite higher than earlier results published. | 37,814 |
models used framework. train and the scans Then were annotations developed of to segmentation these | Then these scans and annotations were used to train segmentation models of the developed framework. | 37,815 |
attacks into Adversarial find models fool can images. misclassifying perturbations that | Adversarial attacks find perturbations that can fool models into misclassifying images. | 37,816 |
simulate lighting can natural In and shadows. find addition, perturbations natural we phenomena harmonic like | In addition, we find harmonic perturbations can simulate natural phenomena like natural lighting and shadows. | 37,817 |
the neighbor image addresses of This nearest applied large-scale retrieval. approximate domain in search work | This work addresses approximate nearest neighbor search applied in the domain of large-scale image retrieval. | 37,818 |
off-line construction the we an the propose of framework testing Within search structures. efficient group | Within the group testing framework we propose an efficient off-line construction of the search structures. | 37,819 |
embedding combined methods. method existing be can The with naturally | The method can be naturally combined with existing embedding methods. | 37,820 |
We evaluate the databases. on multiple face anti-spoofing proposed method | We evaluate the proposed method on multiple face anti-spoofing databases. | 37,821 |
results due The spoof improvements promising to modeling. show our noise | The results show promising improvements due to our spoof noise modeling. | 37,822 |
Deep many achievement in has remarkable learning made fields. | Deep learning has made remarkable achievement in many fields. | 37,823 |
usually of the amount of parameters demands networks a neural However, data. large labeled learning | However, learning the parameters of neural networks usually demands a large amount of labeled data. | 37,824 |
called few-shot task is learning. This specific | This specific task is called few-shot learning. | 37,825 |
The the measurement of scatter. volume of for class used is simplex the | The volume of the simplex is used for the measurement of class scatter. | 37,826 |
learning. verify effectiveness miniImageNet simplex few-shot the of algorithm Omniglot our on Experiments on and | Experiments on Omniglot and miniImageNet verify the effectiveness of our simplex algorithm on few-shot learning. | 37,827 |
variability this of examine the across objects different visual paper, i.e. ad categories, we In | In this paper, we examine the visual variability of objects across different ad categories, i.e. | 37,828 |
persuasive. causes visually advertisement an be to what | what causes an advertisement to be visually persuasive. | 37,829 |
properties are these derived. filters of The | The properties of these filters are derived. | 37,830 |
to their we grouped be particular frequency their outputs response. can show according that In | In particular we show that their outputs can be grouped according to their frequency response. | 37,831 |
understanding. an surveillance camera task is scene important for network a tracking Target in and | Target tracking in a camera network is an important task for surveillance and scene understanding. | 37,832 |
views illumination and task variation challenging due disjoint in cameras. different is to The | The task is challenging due to disjoint views and illumination variation in different cameras. | 37,833 |
this In features. were proposed using graph-based many direction, methods appearance-based | In this direction, many graph-based methods were proposed using appearance-based features. | 37,834 |
illumination variation However, in the FOVs. high appearance information camera fades different the with | However, the appearance information fades with high illumination variation in the different camera FOVs. | 37,835 |
will network the that policy topology. learns camera We the show | We will show that the policy learns the camera network topology. | 37,836 |
the on NLPR of the dataset. proposed the MCT We performance method demonstrate | We demonstrate the performance of the proposed method on the NLPR MCT dataset. | 37,837 |
advantages and of discuss we Finally, the various disadvantages schemes. | Finally, we discuss advantages and disadvantages of the various schemes. | 37,838 |
mesh methods Markov the over as State-of-the-art Random model a Field facets. labeling | State-of-the-art methods model mesh labeling as a Markov Random Field over the facets. | 37,839 |
compared the our compared We Matlab-toolbox Intlab. with results have | We have compared compared our results with the Matlab-toolbox Intlab. | 37,840 |
have producing narrower superior that intervals. our is shown experiments method Numerical | Numerical experiments have shown that our method is superior producing narrower intervals. | 37,841 |
of have principles, a been alternative supplemented DP the number postulates, ways. in These | These principles, the DP postulates, have been supplemented in a number of alternative ways. | 37,842 |
criticised position unacceptably this has However, as recently been being strong. | However, this position has recently been criticised as being unacceptably strong. | 37,843 |
privacy-preserving data variables These are mining for latent applications. features as proposed | These latent variables are proposed as features for privacy-preserving data mining applications. | 37,844 |
of the we problem paper, domain In this consider adaptation. | In this paper, we consider the problem of domain adaptation. | 37,845 |
In using on results and data. simulations real-measured addition, demonstrate experimental benefits these we | In addition, we demonstrate these benefits using experimental results on simulations and real-measured data. | 37,846 |
make for on explore option two based contributions. methods We and algorithmic discovery variational inference | We explore methods for option discovery based on variational inference and make two algorithmic contributions. | 37,847 |
in representations task action frame in sequences role the play important recognition. Spatio-temporal an of | Spatio-temporal representations in frame sequences play an important role in the task of action recognition. | 37,848 |
expensive flow) However, requires framework. and an has two-stream (RGB optical computational and it cost | However, it has an expensive computational cost and requires two-stream (RGB and optical flow) framework. | 37,849 |
downstream performance improvements. addition, deep integrated SSNs into easily resulting can in networks In be | In addition, SSNs can be easily integrated into downstream deep networks resulting in performance improvements. | 37,850 |
artifacts to approach a these of address propose sources two-stage, all deep-learning of simultaneously. We | We propose a two-stage, deep-learning approach to address all of these sources of artifacts simultaneously. | 37,851 |
their a systems size, challenge. laser-based communication integrating high-throughput however, remains with Due to them | Due to their size, however, integrating them with high-throughput laser-based communication systems remains a challenge. | 37,852 |
method proposed demonstrate experimental state-of-the-art the outperforms that matching our graph results The algorithms. | The experimental results demonstrate that our proposed method outperforms the state-of-the-art graph matching algorithms. | 37,853 |
signature technique verification considers a handwritten biometric. authentication that is an Signature as | Signature verification is an authentication technique that considers handwritten signature as a biometric. | 37,854 |
to dimension the Furthermore reduction is feature vectors. technique applied large | Furthermore dimension reduction technique is applied to the large feature vectors. | 37,855 |
system is the support and vector classifier model using machine evaluated trained algorithm. (SVM) A | A system model is trained and evaluated using the support vector machine (SVM) classifier algorithm. | 37,856 |
introduced is of optical EEG. In flow variant information represent the to addition, | In addition, optical flow is introduced to represent the variant information of EEG. | 37,857 |
generated available. directly The proportional the power is wind to speed | The power generated is directly proportional to the wind speed available. | 37,858 |
been applied Neural core have to Convolutional Networks the age-related (CNN) research as framework. | Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework. | 37,859 |
CNN Modern are based based implementations. algebra typically point linear floating on | Modern CNN are typically based on floating point linear algebra based implementations. | 37,860 |
constrained in environments. important power particularly is compute This | This is particularly important in power constrained compute environments. | 37,861 |
formulate Then, we representation quantitatively hardware between data the and efficiency. relationship | Then, we quantitatively formulate the relationship between data representation and hardware efficiency. | 37,862 |
that are the It models responses same. of appeared the almost both | It appeared that the responses of both models are almost the same. | 37,863 |
this to we issues. present a address In model novel these paper, | In this paper, we present a novel model to address these issues. | 37,864 |
gaze the and particular, handles represents In model explicitly gaze direction out-of-frame our targets. | In particular, our model explicitly represents the gaze direction and handles out-of-frame gaze targets. | 37,865 |
different multi-task using leverage a datasets three We approach. learning | We leverage three different datasets using a multi-task learning approach. | 37,866 |
methods the count use of to learn regression-based interest. explicitly optimization where State-of-the-art they objects | State-of-the-art methods use regression-based optimization where they explicitly learn to count the objects of interest. | 37,867 |
capture linearity, Due non-linear they can extreme and to not expressions. this deformations | Due to this linearity, they can not capture extreme deformations and non-linear expressions. | 37,868 |
localization activity literature the in Most methods annotation from suffer frame-wise burden requirement. of the | Most activity localization methods in the literature suffer from the burden of frame-wise annotation requirement. | 37,869 |
a may labels effort. labeling reducing such from weak solution be manual potential towards Learning | Learning from weak labels may be a potential solution towards reducing such manual labeling effort. | 37,870 |
basic signal. the frequently set smallest Noise on limit the level | Noise level frequently set the basic limit on the smallest signal. | 37,871 |
always RF technology. in Low play noise amplifiers role a significant | Low noise amplifiers always play a significant role in RF technology. | 37,872 |
with The been the single-gate LNA. has done comparison | The comparison has been done with the single-gate LNA. | 37,873 |
understanding deep networks computations. features in their can neural (DNNs) help Visualizing | Visualizing features in deep neural networks (DNNs) can help understanding their computations. | 37,874 |
are statistical widely among most and used simplest Permutation tests the tools. | Permutation tests are among the simplest and most widely used statistical tools. | 37,875 |
be p-values computed Their permutations. sampling by a can straightforward of | Their p-values can be computed by a straightforward sampling of permutations. | 37,876 |
The asymptotically than algorithm practically sampling. is straightforward and faster | The algorithm is practically and asymptotically faster than straightforward sampling. | 37,877 |
we the tackle In of work, counting images. crowd this in problem | In this work, we tackle the problem of crowd counting in images. | 37,878 |
based density Convolutional to estimation (CNN) We Neural a this approach problem. Network present solve | We present a Convolutional Neural Network (CNN) based density estimation approach to solve this problem. | 37,879 |
high resolution in is map go a challenging task. one density a Predicting | Predicting a high resolution density map in one go is a challenging task. | 37,880 |
We present matting. the (GAN) first natural image adversarial for generative network | We present the first generative adversarial network (GAN) for natural image matting. | 37,881 |
features to obtain performance. multiple better natural it's Therefore, together integrate to | Therefore, it's natural to integrate multiple features together to obtain better performance. | 37,882 |
its utilizing sample nearest neighbors. by k MRPE each reconstructs | MRPE reconstructs each sample by utilizing its k nearest neighbors. | 37,883 |
segmentation offers quality). improved ratio, slightly quantitative results signal-to-noise Furthermore, also it (peak | Furthermore, it also offers slightly improved quantitative results (peak signal-to-noise ratio, segmentation quality). | 37,884 |
of number the Another advantage presented of is technique the hyperparameters. low | Another advantage of the presented technique is the low number of hyperparameters. | 37,885 |
effectiveness tasks results Superior methods the on demonstrate approach. of over state-of-the-art our both the | Superior results over the state-of-the-art methods on both tasks demonstrate the effectiveness of our approach. | 37,886 |
group by clustering a of The up such method a constructs non-local spatial-spectrum cubes. series | The method constructs such a group by clustering up a series of non-local spatial-spectrum cubes. | 37,887 |
adopted NLCTF solve is the strategy the to Finally, model. split-Bregman | Finally, the split-Bregman strategy is adopted to solve the NLCTF model. | 37,888 |
The that outperforms method NLCTF results show competitors. other the the | The results show that the NLCTF method outperforms the other competitors. | 37,889 |
in networks. paper traffic deep for road a proposes approach complex flow prediction learning This | This paper proposes a deep learning approach for traffic flow prediction in complex road networks. | 37,890 |
by a pooling replaces neural we that routing. network max dynamic Thus, propose capsules with | Thus, we propose a neural network with capsules that replaces max pooling by dynamic routing. | 37,891 |
gaze only human from a images natural task. Estimating eye is challenging | Estimating human gaze from natural eye images only is a challenging task. | 37,892 |
problem. gaze ill-posed achieving is an highly Hence, accurate estimates | Hence, achieving highly accurate gaze estimates is an ill-posed problem. | 37,893 |
to localization reduce and and the errors. strategies size, relative the instance absolute | the instance absolute and relative size, and strategies to reduce the localization errors. | 37,894 |
AVA for localization simple dataset. action baseline the on We introduce a | We introduce a simple baseline for action localization on the AVA dataset. | 37,895 |
contents a images. vision very the powerful from method for the understanding Computer is | Computer vision is a very powerful method for understanding the contents from the images. | 37,896 |
sheep. weight to measuring the enabled us of human has involvement in the minimize It | It has enabled us to minimize the human involvement in measuring weight of the sheep. | 37,897 |
starting model. (up-down) modular point is bottom-up Our re-implementation of the a top-down | Our starting point is a modular re-implementation of the bottom-up top-down (up-down) model. | 37,898 |
performs however It dataset. to are particular that supervised fully ones, comparably a fine-tuned to | It performs comparably to fully supervised ones, that however are fine-tuned to a particular dataset. | 37,899 |
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