Learning Representational Invariances for Data-Efficient Action Recognition

30 March 2021

Papers citing "Learning Representational Invariances for Data-Efficient Action Recognition"

6 / 6 papers shown

Title
Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition Yu Wang Sanpin Zhou Kun Xia Le Wang 31 0 0 25 Apr 2024
Learning Human Action Recognition Representations Without Real Humans Howard Zhong Samarth Mishra Donghyun Kim SouYoung Jin Rameswar Panda Hildegard Kuehne Leonid Karlinsky Venkatesh Saligrama Aude Oliva Rogerio Feris 24 3 0 10 Nov 2023
S3Aug: Segmentation, Sampling, and Shift for Action Recognition Taiki Sugiura Toru Tamaki AI4TS 22 2 0 23 Oct 2023
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
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017