241 citations · 280 across the 6 of their papers we have counts for
13 papers · 1 filter
Look Through Masks: Towards Masked Face Recognition with De-Occlusion Distillation
Chenyu Li, Shiming Ge, Daichi Zhang +1
Many real-world applications today like video surveillance and urban governance need to address the recognition of masked faces, where content replacement by diverse masks often br…
Efficient Low-Resolution Face Recognition via Bridge Distillation
Shiming Ge, Shengwei Zhao, Chenyu Li +2
Face recognition in the wild is now advancing towards light-weight models, fast inference speed and resolution-adapted capability. In this paper, we propose a bridge distillation a…
Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen, Limeng Qiao, Yemin Shi +5
Open set recognition is an emerging research area that aims to simultaneously classify samples from predefined classes and identify the rest as 'unknown'. In this process, one of t…
Cooperative Bi-path Metric for Few-shot Learning
Zeyuan Wang, Yifan Zhao, Jia Li +1
Given base classes with sufficient labeled samples, the target of few-shot classification is to recognize unlabeled samples of novel classes with only a few labeled samples. Most e…
Is Depth Really Necessary for Salient Object Detection?
Jiawei Zhao, Yifan Zhao, Jia Li +1
Salient object detection (SOD) is a crucial and preliminary task for many computer vision applications, which have made progress with deep CNNs. Most of the existing methods mainly…
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning
Changqun Xia, Jia Li, Jinming Su +1
Typically, objects with the same semantics are not always prominent in images containing different backgrounds. Motivated by this observation that accurately salient object detecti…