Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

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Improving Query Efficiency of Black-Box Adversarial Attack,Process based black-box adversarial attack (NP-Attack) in this paper. Extensive experiments show that NP-Attack could greatly decrease the query counts under the black-box setting. Code is available at ..

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BioMetricNet: Deep Unconstrained Face Verification Through Learning of Metrics Regularized onto Gaularm and genuine acceptance rate, and leads to a loss function that can be written in closed form. Extensive analysis and experimentation on publicly available datasets such as Labeled Faces in the wild (LFW), Youtube faces (YTF), Celebrities in Frontal-Profile in the Wild (CFP), and challenging dat

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A Decoupled Learning Scheme for Real-World Burst Denoising from Raw Images,how to align adjacent frames from a synthetic noisy video dataset, and learn to adapt to the raw noise statistics from real-world noisy datasets of static scenes. Finally, the trained model can be applied to real-world dynamic sequences for burst denoising. Extensive experiments on both synthetic vi

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Attend and Segment: Attention Guided Active Semantic Segmentation,ls (10 retina-like glimpses). We perform an ablation study on the number of glimpses, input image size and effectiveness of retina-like glimpses. We compare our method to several baselines and show that the optimal results are achieved by having access to a very low resolution view of the scene at t