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ASFD: Automatic and Scalable Face Detector. (arXiv:2201.10781v1 [cs.CV])
Web: http://arxiv.org/abs/2201.10781
Jan. 27, 2022, 2:10 a.m. | Jian Li, Bin Zhang, Yabiao Wang, Ying Tai, ZhenYu Zhang, Chengjie Wang, Jilin Li, Xiaoming Huang, Yili Xia
cs.CV updates on arXiv.org arxiv.org
Along with current multi-scale based detectors, Feature Aggregation and
Enhancement (FAE) modules have shown superior performance gains for
cutting-edge object detection. However, these hand-crafted FAE modules show
inconsistent improvements on face detection, which is mainly due to the
significant distribution difference between its training and applying corpus,
COCO vs. WIDER Face. To tackle this problem, we essentially analyse the effect
of data distribution, and consequently propose to search an effective FAE
architecture, termed AutoFAE by a differentiable architecture search, which …
More from arxiv.org / cs.CV updates on arXiv.org
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