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

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書目名稱Computer Vision – ECCV 2020影響因子(影響力)




書目名稱Computer Vision – ECCV 2020影響因子(影響力)學科排名




書目名稱Computer Vision – ECCV 2020網(wǎng)絡公開度




書目名稱Computer Vision – ECCV 2020網(wǎng)絡公開度學科排名




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書目名稱Computer Vision – ECCV 2020被引頻次學科排名




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書目名稱Computer Vision – ECCV 2020年度引用學科排名




書目名稱Computer Vision – ECCV 2020讀者反饋




書目名稱Computer Vision – ECCV 2020讀者反饋學科排名

投票

Online Ensemble Model Compression Using Knowledge Distillation,ltaneously learnt ensemble knowledge onto each of the compressed student models. Each model learns unique representations from the data distribution due to its distinct architecture. This helps the ensemble generalize better by combining every model’s knowledge. The distilled students and ensemble t

關心

Deep Learning-Based Pupil Center Detection for Fast and Accurate Eye Tracking System,ration. Many techniques for detecting pupil centers with error range of iris radius have been developed, but few techniques have precise performance with error range of pupil radius. In addition, the conventional methods rarely guarantee real-time pupil center detection in a general-purpose computer

prolate

Efficient Residue Number System Based Winograd Convolution,ations represented in floating point. However it is difficult to apply the scheme to the inference of low-precision quantized (e.g. INT8) networks. Our work extends the Winograd algorithm to Residue Number System (RNS). The minimal complexity convolution is computed precisely over large transformati

阻撓

Robust Tracking Against Adversarial Attacks,p tracking algorithms against adversarial attacks. Current studies on adversarial attack and defense mainly reside in a single image. In this work, we first attempt to generate adversarial examples on top of video sequences to improve the tracking robustness against adversarial attacks. To this end,

天然熱噴泉

天然熱噴泉

irreducible

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Towards Fast, Accurate and Stable 3D Dense Face Alignment,balance among speed, accuracy and stability. Firstly, on the basis of a lightweight backbone, we propose a meta-joint optimization strategy to dynamically regress a small set of 3DMM parameters, which greatly enhances speed and accuracy simultaneously. To further improve the stability on videos, we

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