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ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for
  Action Recognition

ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition

1 April 2022
Jun Kimata
Tomoya Nitta
Toru Tamaki
ArXivPDFHTML

Papers citing "ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition"

6 / 6 papers shown
Title
Can masking background and object reduce static bias for zero-shot action recognition?
Can masking background and object reduce static bias for zero-shot action recognition?
Takumi Fukuzawa
Kensho Hara
Hirokatsu Kataoka
Toru Tamaki
43
0
0
22 Jan 2025
Don't Judge by the Look: Towards Motion Coherent Video Representation
Don't Judge by the Look: Towards Motion Coherent Video Representation
Yitian Zhang
Yue Bai
Huan Wang
Yizhou Wang
Yun Fu
40
0
0
14 Mar 2024
S3Aug: Segmentation, Sampling, and Shift for Action Recognition
S3Aug: Segmentation, Sampling, and Shift for Action Recognition
Taiki Sugiura
Toru Tamaki
AI4TS
29
2
0
23 Oct 2023
Mitigating and Evaluating Static Bias of Action Representations in the
  Background and the Foreground
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground
Haoxin Li
Yuan Liu
Hanwang Zhang
Boyang Li
30
15
0
23 Nov 2022
Context-Matched Collage Generation for Underwater Invertebrate Detection
Context-Matched Collage Generation for Underwater Invertebrate Detection
R. McEver
Bowen Zhang
B. S. Manjunath
33
0
0
15 Nov 2022
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
971
0
13 Dec 2020
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