End-to-End Semantic Video Transformer for Zero-Shot Action Recognition

10 March 2022

Papers citing "End-to-End Semantic Video Transformer for Zero-Shot Action Recognition"

7 / 7 papers shown

Title
Can we predict the Most Replayed data of video streaming platforms? Alessandro Duico Ombretta Strafforello J. C. V. Gemert 10 1 0 12 Sep 2023
Tell me what you see: A zero-shot action recognition method based on natural language descriptions Valter Estevam Rayson Laroca David Menotti Hélio Pedrini 19 13 0 18 Dec 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 136 193 0 23 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,978 0 09 Feb 2021
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications Biagio Brattoli Joseph Tighe Fedor Zhdanov Pietro Perona Krzysztof Chalupka VLM 129 127 0 03 Mar 2020
Learning Attributes Equals Multi-Source Domain Generalization Chuang Gan Tianbao Yang Boqing Gong OOD 150 197 0 03 May 2016
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013