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Siamese Tracking with Lingual Object Constraints

Authors:  MaximilianFiltenborg, EfstratiosGavves, DeepakGupta....
Published date-11/23/2020
Tasks:  ObjectTracking, QuestionAnswering, VideoSummarization, VisualObjectTracking, VisualQuestionAnswering

Abstract: Classically, visual object tracking involves following a target object throughout a given video, and it provides us the motion trajectory of the object. However, for many practical applications, this output …
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Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation

Authors:  MartinKolarik, RadimBurget, CarlosM.Travieso-Gonzalez....
Published date-11/23/2020
Tasks:  LesionSegmentation, TransferLearning

Abstract: We present a novel approach of 2D to 3D transfer learning based on mapping pre-trained 2D convolutional neural network weights into planar 3D kernels. The method is validated by the …
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Characterization of Industrial Smoke Plumes from Remote Sensing Data

Authors:  MichaelMommert, MarioSigel, MarcelNeuhausler....
Published date-11/23/2020
Activation Functions
Concatenated Skip Connection
Convolution
Convolutions
Max Pooling

Abstract: The major driver of global warming has been identified as the anthropogenic release of greenhouse gas (GHG) emissions from industrial activities. The quantitative monitoring of these emissions is mandatory to …
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An off-the-grid approach to multi-compartment magnetic resonance fingerprinting

Authors:  MohammadGolbabaee, ClaricePoon....
Published date-11/23/2020
Tasks:  MagneticResonanceFingerprinting

Abstract: We propose a novel numerical approach to separate multiple tissue compartments in image voxels and to estimate quantitatively their nuclear magnetic resonance (NMR) properties and mixture fractions, given magnetic resonance …
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Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control

Authors:  LarsLienAnkile, MorganFeetHeggland, KjartanKrange....
Published date-11/23/2020
Tasks:  ImageAugmentation, TransferLearning

Abstract: The purpose of this paper is to design a solution to the problem of facial recognition by use of convolutional neural networks, with the intention of applying the solution in …
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Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric

Authors:  ZhengWang, XinYuan, ToshihikoYamasaki....
Published date-11/23/2020
Tasks:  ImageRetrieval

Abstract: Re-identification (re-ID) is currently investigated as a closed-world image retrieval task, and evaluated by retrieval based metrics. The algorithms return ranking lists to users, but cannot tell which images are …
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