Video Mobile-Former: Video Recognition with Efficient Global
Spatial-temporal Modeling

Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling

25 August 2022

Zuxuan Wu

Lu Yuan

Papers citing "Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling"

8 / 8 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 30 69 0 23 Nov 2022
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 218 1,213 0 05 Oct 2021
Mobile-Former: Bridging MobileNet and Transformer Yinpeng Chen Xiyang Dai Dongdong Chen Mengchen Liu Xiaoyi Dong Lu Yuan Zicheng Liu ViT 177 476 0 12 Aug 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 277 3,623 0 24 Feb 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
Dynamic ReLU Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 177 162 0 22 Mar 2020
ECO: Efficient Convolutional Network for Online Video Understanding Mohammadreza Zolfaghari Kamaljeet Singh Thomas Brox 130 496 0 24 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017