9 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 9 cited
Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao, Longlong Jing, Lin Zhang +5
Semi-supervised video action recognition tends to enable deep neural networks to achieve remarkable performance even with very limited labeled data. However, existing methods are m…
cs.CV2021
MT-ORL: Multi-Task Occlusion Relationship Learning
Panhe Feng, Qi She, Lei Zhu +7
Retrieving occlusion relation among objects in a single image is challenging due to sparsity of boundaries in image. We observe two key issues in existing works: firstly, lack of a…
cs.CV2021★ 1 cited
Inter-intra Variant Dual Representations forSelf-supervised Video Recognition
Lin Zhang, Qi She, Zhengyang Shen +1
Contrastive learning applied to self-supervised representation learning has seen a resurgence in deep models. In this paper, we find that existing contrastive learning based soluti…