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

祈求

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(xué)科排名




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




書目名稱Computer Vision – ECCV 2020網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision – ECCV 2020被引頻次




書目名稱Computer Vision – ECCV 2020被引頻次學(xué)科排名




書目名稱Computer Vision – ECCV 2020年度引用




書目名稱Computer Vision – ECCV 2020年度引用學(xué)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(xué)科排名

合適

H3DNet: 3D Object Detection Using Hybrid Geometric Primitives,

Decimate

Generative Low-Bitwidth Data Free Quantization,ization (GDFQ) to remove the data dependence burden. Specifically, we propose a knowledge matching generator to produce meaningful fake data by exploiting classification boundary knowledge and distribution information in the pre-trained model. With the help of generated data, we can quantize a model

整潔漂亮

Highbrow

接觸

接觸

lipoatrophy

Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues,he forgery patterns via our two-stream collaborative learning framework. We apply DCT as the applied frequency-domain transformation. Through comprehensive studies, we show that the proposed F.-Net significantly outperforms competing state-of-the-art methods on all compression qualities in the chall

heckle

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation,rent layer of the framework during domain finetuning from synthetic to real allows preservation of the visuo-temporal features learned from sequential synthetic hand images. Hand poses that are sequentially estimated consequently produce natural and smooth hand movements which lead to more robust es

原始

Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization, undervalued before due to the lack of cross-camera information, to achieve competitive ReID performance. Experiments on a wide range of ReID tasks demonstrate the effectiveness of our approach. The code is available at ..