On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition

15 September 2022

Papers citing "On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition"

7 / 7 papers shown

Title
SVFormer: Semi-supervised Video Transformer for Action Recognition Zhen Xing Qi Dai Hang-Rui Hu Jingjing Chen Zuxuan Wu Yu-Gang Jiang ViT 27 69 0 23 Nov 2022
UniFormer: Unifying Convolution and Self-attention for Visual Recognition Kunchang Li Yali Wang Junhao Zhang Peng Gao Guanglu Song Yu Liu Hongsheng Li Yu Qiao ViT 150 361 0 24 Jan 2022
SCENIC: A JAX Library for Computer Vision Research and Beyond Mostafa Dehghani A. Gritsenko Anurag Arnab Matthias Minderer Yi Tay 46 68 0 18 Oct 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 280 1,982 0 09 Feb 2021
Video Transformer Network Daniel Neimark Omri Bar Maya Zohar Dotan Asselmann ViT 198 422 0 01 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 220 508 0 15 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,428 0 04 Jan 2021