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04/21/2022
WebFace260M: A Benchmark for Million-Scale Deep Face Recognition
Face benchmarks empower the research community to train and evaluate hig...
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09/10/2021
Face-NMS: A Core-set Selection Approach for Efficient Face Recognition
Recently, face recognition in the wild has achieved remarkable success a...
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08/16/2021
Masked Face Recognition Challenge: The WebFace260M Track Report
According to WHO statistics, there are more than 204,617,027 confirmed C...
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03/06/2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
In this paper, we contribute a new million-scale face benchmark containi...
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12/17/2020
Semi-Global Shape-aware Network
Non-local operations are usually used to capture long-range dependencies...
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02/27/2019
Cluster Regularized Quantization for Deep Networks Compression
Deep neural networks (DNNs) have achieved great success in a wide range ...
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02/27/2019
Multi-loss-aware Channel Pruning of Deep Networks
Channel pruning, which seeks to reduce the model size by removing redund...
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12/14/2018
Action Machine: Rethinking Action Recognition in Trimmed Videos
Existing methods in video action recognition mostly do not distinguish h...
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11/18/2018
Optical Flow Based Online Moving Foreground Analysis
Obtained by moving object detection, the foreground mask result is unsha...
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11/18/2018
An Efficient Optical Flow Based Motion Detection Method for Non-stationary Scenes
Real-time motion detection in non-stationary scenes is a difficult task ...
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07/13/2018
Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes
Real-time moving object detection in unconstrained scenes is a difficult...
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11/11/2017
End-to-end Video-level Representation Learning for Action Recognition
From the frame/clip-level feature learning to the video-level representa...
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09/12/2017
