ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.03457
  4. Cited By
VideoMix: Rethinking Data Augmentation for Video Classification

VideoMix: Rethinking Data Augmentation for Video Classification

7 December 2020
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Jinhyung Kim
ArXivPDFHTML

Papers citing "VideoMix: Rethinking Data Augmentation for Video Classification"

15 / 15 papers shown
Title
Benchmarking the Robustness of Temporal Action Detection Models Against
  Temporal Corruptions
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
PASCL: Supervised Contrastive Learning with Perturbative Augmentation
  for Particle Decay Reconstruction
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction
Junjian Lu
Siwei Liu
Dmitrii Kobylianski
Etienne Dreyer
Eilam Gross
Houcheng Su
32
3
0
18 Feb 2024
Learning Human Action Recognition Representations Without Real Humans
Learning Human Action Recognition Representations Without Real Humans
Howard Zhong
Samarth Mishra
Donghyun Kim
SouYoung Jin
Yikang Shen
Hildegard Kuehne
Leonid Karlinsky
Venkatesh Saligrama
Aude Oliva
Rogerio Feris
24
3
0
10 Nov 2023
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
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Jie Zhao
Johan Edstedt
M. Felsberg
D. Wang
Huchuan Lu
ViT
27
4
0
15 Sep 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
Baby Physical Safety Monitoring in Smart Home Using Action Recognition
  System
Baby Physical Safety Monitoring in Smart Home Using Action Recognition System
Victor A. Adewopo
Nelly Elsayed
Kelly Anderson
26
6
0
22 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function
  Perspective
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
21
32
0
21 Aug 2022
A Feature-space Multimodal Data Augmentation Technique for Text-video
  Retrieval
A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval
Alex Falcon
G. Serra
Oswald Lanz
VGen
42
25
0
03 Aug 2022
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for
  Action Recognition
ObjectMix: Data Augmentation by Copy-Pasting Objects in Videos for Action Recognition
Jun Kimata
Tomoya Nitta
Toru Tamaki
29
10
0
01 Apr 2022
AugLy: Data Augmentations for Robustness
AugLy: Data Augmentations for Robustness
Zoe Papakipos
Joanna Bitton
AAML
31
53
0
17 Jan 2022
ViewCLR: Learning Self-supervised Video Representation for Unseen
  Viewpoints
ViewCLR: Learning Self-supervised Video Representation for Unseen Viewpoints
Srijan Das
Michael S. Ryoo
SSL
37
17
0
07 Dec 2021
Evaluating Transformers for Lightweight Action Recognition
Evaluating Transformers for Lightweight Action Recognition
Raivo Koot
Markus Hennerbichler
Haiping Lu
ViT
28
8
0
18 Nov 2021
Scene-aware Learning Network for Radar Object Detection
Scene-aware Learning Network for Radar Object Detection
Zangwei Zheng
Xiangyu Yue
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
35
8
0
03 Jul 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
1