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Learnable Gabor modulated complex-valued networks for orientation robustness


Authors:  FelixRichards, AdelinePaiement, XianghuaXie....
Published date-11/23/2020
Tasks:  DataAugmentation

Abstract: Robustness to transformation is desirable in many computer vision tasks, given that input data often exhibits pose variance within classes. While translation invariance and equivariance is a documented phenomenon of …

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 …

Characterization of Industrial Smoke Plumes from Remote Sensing Data


Authors:  MichaelMommert, MarioSigel, MarcelNeuhausler....
Published date-11/23/2020

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 …

Differentially Private Learning Needs Better Features (or Much More Data)


Authors:  FlorianTramèr, DanBoneh....
Published date-11/23/2020

Abstract: We demonstrate that differentially private machine learning has not yet reached its "AlexNet moment" on many canonical vision tasks: linear models trained on handcrafted features significantly outperform end-to-end deep neural …

Exploring Alternatives to Softmax Function


Authors:  KunalBanerjee, VishakPrasadC, RishiRajGupta....
Published date-11/23/2020
Tasks:  ImageClassification

Abstract: Softmax function is widely used in artificial neural networks for multiclass classification, multilabel classification, attention mechanisms, etc. However, its efficacy is often questioned in literature. The log-softmax loss has been …

Large Scale Multimodal Classification Using an Ensemble of Transformer Models and Co-Attention


Authors:  VarnithChordia, VijayKumarBG....
Published date-11/23/2020
Tasks:  QuestionAnswering, VisualQuestionAnswering

Abstract: Accurate and efficient product classification is significant for E-commerce applications, as it enables various downstream tasks such as recommendation, retrieval, and pricing. Items often contain textual and visual information, and …

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