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variation is observed. a intra-class Third, huge
Third, a huge intra-class variation is observed.
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one vision. computer Video is challenging most of the in topics understanding
Video understanding is one of the most challenging topics in computer vision.
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video significantly. oriented functional object Experiments network that understanding using improves show
Experiments show that using functional object oriented network improves video understanding significantly.
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the algorithm queries Further, forward feasible. hindsight to our beginning backward relational makes very
Further, our relational forward backward algorithm makes hindsight queries to the very beginning feasible.
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impinging tensor-based approach, nonlinear considered Decomposition We signals are Polyadic on (CPD). named EEG Canonical
We considered EEG signals are impinging on tensor-based approach, named nonlinear Canonical Polyadic Decomposition (CPD).
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task. this during EEG collected a signals In resting-state study, we
In this study, we collected EEG signals during a resting-state task.
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applications. reveal the temporal possibility signals findings Our recoverable of in EEG
Our findings reveal the possibility of recoverable temporal signals in EEG applications.
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(FCN) estimated attributes via geometry Network Such Fully model. Convolutional are a
Such geometry attributes are estimated via a Fully Convolutional Network (FCN) model.
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sensitive to to initialization. be is known Gauss-Newton also
Gauss-Newton is also known to be sensitive to initialization.
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far situation is from ideal. Hence, the
Hence, the situation is far from ideal.
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advantages tasks, two i.e. of The SISO leveraging simple framework segmentation yet is efficient, different
The SISO framework is simple yet efficient, leveraging advantages of two different segmentation tasks, i.e.
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the salient segmentation semantic fuse instance final eventually segmentation to and them for object result.
semantic instance segmentation and salient object segmentation to eventually fuse them for the final result.
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can in results which our demonstrated occlusions effectiveness videos. handle of baseline, Experimental SISO the
Experimental results demonstrated the effectiveness of our SISO baseline, which can handle occlusions in videos.
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candidate problem to addressed embedding establish jointly generally This by and is correspondence. statements images
This problem is generally addressed by jointly embedding images and candidate statements to establish correspondence.
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loss function. by embedding based is a attention model guided max-margin end-to-end learned Our
Our attention based embedding model is learned end-to-end guided by a max-margin loss function.
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suggested that observations preliminary sternum These the through endochondral ossification. quail grows
These preliminary observations suggested that the quail sternum grows through endochondral ossification.
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sternum development. will histological during study of explore changes post-hatching The future the further quail
The future study will further explore the histological changes of quail sternum during post-hatching development.
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by a Wiener estimation. obtained is reconstructed Then, image
Then, a reconstructed image is obtained by Wiener estimation.
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Models the network easily can be on of this analyzed kind level.
Models of this kind can be easily analyzed on the network level.
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with well. model By this regression approach selection we as to can extend substituting classification
By substituting regression with classification we can extend this approach to model selection as well.
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accurate short problem This of of semantic videos. work labelling the addresses
This work addresses the problem of accurate semantic labelling of short videos.
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and evolution Another goal is competition. under speciation "maximal" sympatric study to
Another goal is to study evolution and sympatric speciation under "maximal" competition.
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the the all stochastic "toy essentially model. standard captures of features the model" Hence,
Hence, the "toy model" essentially captures all the features of the standard stochastic model.
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separately. bottom-up incorporate or generally norm models in Saliency either top-down cues salient
Saliency models generally incorporate salient cues either in bottom-up or top-down norm separately.
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integration compared with state-of-the-art-models. yields the saliency several promising RGB-D results framework
RGB-D saliency integration framework yields promising results compared with the several state-of-the-art-models.
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domains tackle proposed to was generation the CoGAN. The first data two attempt of by
The first attempt to tackle the data generation of two domains was proposed by CoGAN.
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vulnerable domain inherently of is various for solution their similarities. levels However,
However, their solution is inherently vulnerable for various levels of domain similarities.
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two-step model an consisting end-to-end a network. is a attention of DSaH network and hashing
DSaH is a two-step end-to-end model consisting of an attention network and a hashing network.
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both We performance general fine-grained conduct on extensive experiments evaluation. datasets retrieval for and
We conduct extensive experiments on both fine-grained and general retrieval datasets for performance evaluation.
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performance Machine methods applied in learning applications. been and have widely achieved good various real-world
Machine learning methods have achieved good performance and been widely applied in various real-world applications.
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be can and time-consuming. labor-intensive process This
This process can be labor-intensive and time-consuming.
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indicate results exhibits outstanding both Experimental qualitatively that performance and quantitatively. our model
Experimental results indicate that our model exhibits outstanding performance both qualitatively and quantitatively.
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We and classes thresholds that best vary demonstrate among detectors. also significantly the confidence score
We also demonstrate that the best confidence score thresholds vary significantly among classes and detectors.
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other code source datasets to can Our easily as adapted well. be
Our source code can easily be adapted to other datasets as well.
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paper image. object addresses of given the an viewpoint a estimation problem of in This
This paper addresses the problem of viewpoint estimation of an object in a given image.
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types New data and (ii) added on. trained are of
(ii) New types of data are added and trained on.
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several methods. lanes properties unique the of challenge detection However,
However, several unique properties of lanes challenge the detection methods.
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further and merging, single, performance. lines broken, splitting the hamper solid, double,
solid, broken, single, double, merging, and splitting lines further hamper the performance.
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outstanding on our world performances that traffic LaneNet validate delivers consistently real Experiments scenarios.
Experiments validate that our LaneNet consistently delivers outstanding performances on real world traffic scenarios.
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constraints are that constraint stochastic component. a problems optimization with objectives These or involve
These are constraint optimization problems that involve objectives or constraints with a stochastic component.
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exact classical We probabilistic (PGMs). revisit models problem graphical on of inference the
We revisit the classical problem of exact inference on probabilistic graphical models (PGMs).
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time-consuming The manual issue labelling applied is the typically main process, per image.
The main issue is the time-consuming manual labelling process, typically applied per image.
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itself car the is annotation. driving that form of notice a We
We notice that driving the car is itself a form of annotation.
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(MSIs). multispectral image MSFA is demosaicked reconstruct a images Therein, using captured mosaicked to an
Therein, a mosaicked image captured using an MSFA is demosaicked to reconstruct multispectral images (MSIs).
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reconstructed obtained a estimation. Wiener using image is Subsequently,
Subsequently, a reconstructed image is obtained using Wiener estimation.
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environments. game in in evolutionary traditionally theory interactions homogeneous assume Models symmetric
Models in evolutionary game theory traditionally assume symmetric interactions in homogeneous environments.
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in NMDA to transmission the nervous (NMDA-R) excitatory central contribute receptors synaptic typically system.
NMDA receptors (NMDA-R) typically contribute to excitatory synaptic transmission in the central nervous system.
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mechanism has theoretically. been This yet studied not
This mechanism has not yet been studied theoretically.
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generalize to the hands. Therefore, unseen new, to existing problems has method hybrid
Therefore, the existing hybrid method has problems to generalize to new, unseen hands.
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work, kinematic shape to the hand learnable. we make the layer parameters In extend this
In this work, we extend the kinematic layer to make the hand shape parameters learnable.
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the In this arbitrary way, hand can generalize learnt shapes. towards network
In this way, the learnt network can generalize towards arbitrary hand shapes.
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and rotated, input globally to appearance. The a scaled similar images shifted, are
The input images are shifted, rotated, and globally scaled to a similar appearance.
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Possibly universal, lacks explanation. BPC a mechanistic presently
Possibly universal, BPC presently lacks a mechanistic explanation.
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of electroporation versions (EP) fail model" Multiple to cell the "standard of account for BPC.
Multiple versions of the "standard model" of cell electroporation (EP) fail to account for BPC.
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relocate the enter or outside membrane We from that molecules a hypothesize within occluding pore.
We hypothesize that occluding molecules from outside the membrane enter or relocate within a pore.
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involving additional fundamental and the combination Significantly, is general, hindrance. and of a partitioning mechanism
Significantly, the additional mechanism is fundamental and general, involving a combination of partitioning and hindrance.
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an model. the such of requires extension for standard behavior Accounting
Accounting for such behavior requires an extension of the standard model.
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single on commercial societies. strong modern has clothes a image from and impacts Understanding cultural
Understanding clothes from a single image has strong commercial and cultural impacts on modern societies.
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detection propose MetaAnchor for flexible We frameworks. anchor and named a novel mechanism object
We propose a novel and flexible anchor mechanism named MetaAnchor for object detection frameworks.
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by introduced et ago were al. These years Berzuini methods over twenty
These methods were introduced over twenty years ago by Berzuini et al.
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multiple for heterogeneous sensors In holds from particular, data involving characteristics. this with applications
In particular, this holds for applications involving data from multiple sensors with heterogeneous characteristics.
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to been models understand have theoretical epidemics. of Various basic nature proposed the
Various theoretical models have been proposed to understand the basic nature of epidemics.
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epidemic mobility effects Recent the focus to process. of studies on
Recent studies focus on the effects of mobility to epidemic process.
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However, movement. random uncorrelated assumed typically is as of type the walk
However, uncorrelated random walk is typically assumed as the type of movement.
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focus the we of of Moreover, mobility effect agents. reduced on infected the mainly
Moreover, we mainly focus on the effect of the reduced mobility of infected agents.
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that depended the on of movement agents. type However, crucially
However, that crucially depended on the movement type of agents.
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This when medical to comes common is it case dataset.
This is common case when it comes to medical dataset.
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analyses. others software apply publicly to available We for in made our their
We made our software publicly available for others to apply in their analyses.
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diverse scenarios. proposed performance in of method is our The demonstrated
The performance of our proposed method is demonstrated in diverse scenarios.
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state-of-of-the-art the the object solutions. Both with are estimation compared ego-motion localization and
Both the ego-motion estimation and object localization are compared with the state-of-of-the-art solutions.
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while lexicographical This defining takes of actions challenge person a eating. paper the considers
This paper considers the lexicographical challenge of defining actions a person takes while eating.
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repeatable is gesture and discernible goal definitions to objective establish intent. on based The
The goal is to establish objective and repeatable gesture definitions based on discernible intent.
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subsequently simultaneously reviewed was to and recorded Video label gestures.
Video was simultaneously recorded and subsequently reviewed to label gestures.
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and calculated in boundary terms ambiguity, was mistakes. of Inter-rater agreement, reliability
Inter-rater reliability was calculated in terms of agreement, boundary ambiguity, and mistakes.
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disparity This has the greatly estimated accuracy the of maps. improved
This has greatly improved the accuracy of the estimated disparity maps.
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stereo a implementation GPU. presents fast state-of-the-art This paper the on bilateral of
This paper presents the implementation of fast bilateral stereo on a state-of-the-art GPU.
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deployment on a based method K-means Then clustering. investigate we
Then we investigate a deployment method based on K-means clustering.
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iterative is An efficient to reduced further technique improve power coverage probability power. with proposed
An iterative power efficient technique is further proposed to improve coverage probability with reduced power.
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language is algorithm implemented C The in near with a real-time performance.
The algorithm is implemented in C language with a near real-time performance.
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for polarization single presented results are a Numerical component.
Numerical results are presented for a single polarization component.
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applied redundant remove Finally, is non-maximum rotational to suppression detections.
Finally, rotational non-maximum suppression is applied to remove redundant detections.
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color space. This using presents face posteriori a recognition maximum paper on (MAP) discriminant YCbCr
This paper presents face recognition using maximum a posteriori (MAP) discriminant on YCbCr color space.
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of it times grayscale method. that computation more than time requires based However, three
However, it requires three times more computation time than that of grayscale based method.
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traversals spaces. lattice the on conceptual are Concept lattice represented used
Concept lattice traversals are used on the lattice represented conceptual spaces.
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challenged might humans. to prosthetics design well assist to This prove intelligent
This might well prove to design intelligent prosthetics to assist challenged humans.
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hand with discussion conceptual we bidirectional extend our of Also, our on insights spaces prosthetics.
Also, we extend our discussion with our insights on conceptual spaces of bidirectional hand prosthetics.
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can body. snail on inversion Gene generate chiral the mutation
Gene mutation can generate chiral inversion on the snail body.
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sinistral A ecological population in this context. thrive can snail
A sinistral snail population can thrive in this ecological context.
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Pareas show asymmetry species Distinct different bilateral degrees.
Distinct Pareas species show different bilateral asymmetry degrees.
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parameters. also regimes the space in is different for the Stability of solutions of analyzed
Stability of the solutions is also analyzed for different regimes in the space of parameters.
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e.g. literature, There fusion are in architectures several the
There are several fusion architectures in the literature, e.g.
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conditions. even of weather Therefore, approaches the performance decreases these or adverse in fails enormously
Therefore, the performance of these approaches decreases enormously or even fails in adverse weather conditions.
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is Convolutional of (CNN) super-resolution depth network image neural (SR). crucial importance for
Convolutional neural network (CNN) depth is of crucial importance for image super-resolution (SR).
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observe to deeper that more we for networks are difficult train. image However, SR
However, we observe that deeper networks for image SR are more difficult to train.
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attention very propose solve the we (RCAN). networks channel deep problems, To residual these
To solve these problems, we propose the very deep residual channel attention networks (RCAN).
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connections. short skip group with residual some Each contains blocks residual
Each residual group contains some residual blocks with short skip connections.
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improvements and achieves visual show methods. Extensive better that state-of-the-art our RCAN accuracy experiments against
Extensive experiments show that our RCAN achieves better accuracy and visual improvements against state-of-the-art methods.
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at criminal scene may information investigations. Animal forensic hair in examination provide a valuable
Animal hair examination at a criminal scene may provide valuable information in forensic investigations.
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databases local However, are identification hair animal for rare. reference
However, local reference databases for animal hair identification are rare.
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diameter medulla differ of margins the according and species. the hair the The to animal
The diameter of the hair medulla and the margins differ according to the animal species.
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