Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition

9 June 2022

Papers citing "Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition"

8 / 8 papers shown

Title
Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition Yu Wang Sanpin Zhou Kun Xia Le Wang 29 0 0 25 Apr 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 60 5 0 13 Mar 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
Synthetic Sample Selection for Generalized Zero-Shot Learning Shreyank N. Gowda 22 16 0 06 Apr 2023
SVFormer: Semi-supervised Video Transformer for Action Recognition Zhen Xing Qi Dai Hang-Rui Hu Jingjing Chen Zuxuan Wu Yu-Gang Jiang ViT 24 69 0 23 Nov 2022
Image Inpainting for Irregular Holes Using Partial Convolutions Guilin Liu F. Reda Kevin J. Shih Ting-Chun Wang Andrew Tao Bryan Catanzaro 142 1,913 0 20 Apr 2018
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