Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition

13 August 2020

Papers citing "Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition"

5 / 5 papers shown

Title
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng Xiaoyong Chen Jiaming Liang Huisi Wu Guangzhong Cao Yong Guo AAML 39 3 0 29 Mar 2024
Improve Video Representation with Temporal Adversarial Augmentation Jinhao Duan Quanfu Fan Hao-Ran Cheng Xiaoshuang Shi Kaidi Xu AAML AI4TS ViT 25 2 0 28 Apr 2023
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 21 4 0 09 Nov 2022
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 100 33 0 03 Jun 2021
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 268 457 0 30 Nov 2018