441 citations · 803 across the 22 of their papers we have counts for
5 papers · 1 filter
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
Zixiao Wang, Junwu Weng, Chun Yuan +1
Learning with noisy label (LNL) is a classic problem that has been extensively studied for image tasks, but much less for video in the literature. A straightforward migration from…
LocVTP: Video-Text Pre-training for Temporal Localization
Meng Cao, Tianyu Yang, Junwu Weng +3
Video-Text Pre-training (VTP) aims to learn transferable representations for various downstream tasks from large-scale web videos. To date, almost all existing VTP methods are limi…
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen, Chongjian Ge, Zhan Tong +4
Pretraining Vision Transformers (ViTs) has achieved great success in visual recognition. A following scenario is to adapt a ViT to various image and video recognition tasks. The ad…
Unsupervised Pre-training for Temporal Action Localization Tasks
Can Zhang, Tianyu Yang, Junwu Weng +3
Unsupervised video representation learning has made remarkable achievements in recent years. However, most existing methods are designed and optimized for video classification. The…
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Zhan Tong, Yibing Song, Jue Wang +1
Pre-training video transformers on extra large-scale datasets is generally required to achieve premier performance on relatively small datasets. In this paper, we show that video m…