TimeBalance: Temporally-Invariant and Temporally-Distinctive Video
Representations for Semi-Supervised Action Recognition

TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition

28 March 2023

Mamshad Nayeem Rizve

Papers citing "TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition"

11 / 11 papers shown

Title
Semi-supervised Active Learning for Video Action Detection Aayush Singh A. J. Rana Akash Kumar Shruti Vyas Y. S. Rawat 25 7 0 12 Dec 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning Linfeng Xu Qingbo Wu Lili Pan Fanman Meng Hongliang Li Chiyuan He Hanxin Wang Shaoxu Cheng Yunshu Dai EgoV HAI 23 23 0 26 Jan 2023
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 37 44 0 05 Jul 2022
Time-Equivariant Contrastive Video Representation Learning Simon Jenni Hailin Jin SSL AI4TS 128 58 0 07 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 215 848 0 15 Oct 2021
VidTr: Video Transformer Without Convolutions Yanyi Zhang Xinyu Li Chunhui Liu Bing Shuai Yi Zhu Biagio Brattoli Hao Chen I. Marsic Joseph Tighe ViT 130 193 0 23 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,939 0 09 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 203 501 0 15 Jan 2021
Video Representation Learning by Recognizing Temporal Transformations Simon Jenni Givi Meishvili Paolo Favaro 119 133 0 21 Jul 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017