SVFormer: Semi-supervised Video Transformer for Action Recognition

SVFormer: Semi-supervised Video Transformer for Action Recognition

23 November 2022

Zuxuan Wu

Papers citing "SVFormer: Semi-supervised Video Transformer for Action Recognition"

9 / 9 papers shown

Title
Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos Jiaheng Zhou Yanfeng Zhou Wei Fang Yuxing Tang Le Lu Ge Yang Mamba 121 0 0 26 Mar 2025
VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers Ruanjun Li Yuedong Tan Yuanming Shi Jiawei Shao VLM 84 0 0 12 Mar 2025
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning Yue Duan Zhen Zhao Lei Qi Luping Zhou Lei Wang Yinghuan Shi 16 4 0 19 Dec 2023
VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models Zhen Xing Qi Dai Zihao Zhang Hui Zhang Hang-Rui Hu Zuxuan Wu Yu-Gang Jiang VGen 30 17 0 30 Nov 2023
PanoSwin: a Pano-style Swin Transformer for Panorama Understanding Zhixin Ling Zhen Xing Xiangdong Zhou Manliang Cao G. Zhou ViT 13 17 0 28 Aug 2023
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition Farrukh Rahman Ömer Mubarek Z. Kira ViT 10 2 0 15 Sep 2022
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 119 202 0 27 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
Video Transformer Network Daniel Neimark Omri Bar Maya Zohar Dotan Asselmann ViT 193 375 0 01 Feb 2021