423 citations · 1.1k across the 44 of their papers we have counts for
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EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
Kaihao Zhang, Dongxu Li, Wenhan Luo +4
Recent deep face hallucination methods show stunning performance in super-resolving severely degraded facial images, even surpassing human ability. However, these algorithms are ma…
Masked Face Recognition Challenge: The InsightFace Track Report
Jiankang Deng, Jia Guo, Xiang An +2
During the COVID-19 coronavirus epidemic, almost everyone wears a facial mask, which poses a huge challenge to deep face recognition. In this workshop, we organize Masked Face Reco…
Masked Face Recognition Challenge: The WebFace260M Track Report
Zheng Zhu, Guan Huang, Jiankang Deng +9
According to WHO statistics, there are more than 204,617,027 confirmed COVID-19 cases including 4,323,247 deaths worldwide till August 12, 2021. During the coronavirus epidemic, al…
Sample and Computation Redistribution for Efficient Face Detection
Jia Guo, Jiankang Deng, Alexandros Lattas +1
Although tremendous strides have been made in uncontrolled face detection, efficient face detection with a low computation cost as well as high precision remains an open challenge.…
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu, Guan Huang, Jiankang Deng +8
In this paper, we contribute a new million-scale face benchmark containing noisy 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces (WebFace42M) training da…