A Large-Scale Study on Video Action Dataset Condensation

13 March 2025

Papers citing "A Large-Scale Study on Video Action Dataset Condensation"

47 / 47 papers shown

Title
Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook Xu Zheng Ziqiao Weng Yuanhuiyi Lyu Lutao Jiang Haiwei Xue Bin Ren Danda Pani Paudel N. Sebe Luc Van Gool Xuming Hu 3DV 143 10 0 23 Mar 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective Shaobo Wang Yicun Yang Ziqiang Liu Chenghao Sun Xuming Hu Conghui He Li Zhang DD 152 10 0 28 Feb 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 165 10 0 20 Jan 2025
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios Kai Wang Zekai Li Zhi-Qi Cheng Samir Khaki A. Sajedi Ramakrishna Vedantam Konstantinos N. Plataniotis Alexander G. Hauptmann Yang You DD 148 5 0 22 Oct 2024
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory Wenliang Zhong Haoyu Tang Qinghai Zheng Mingzhu Xu Yupeng Hu Liqiang Nie DD 83 2 0 28 Jun 2024
A Label is Worth a Thousand Images in Dataset Distillation Tian Qin Zhiwei Deng David Alvarez-Melis DD 176 13 0 15 Jun 2024
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 101 3 0 04 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 119 9 0 28 May 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching Zhanyu Liu Ke Hao Guanjie Zheng Yanwei Yu DD 116 5 0 12 Mar 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 157 14 0 07 Feb 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm Peng Sun Bei Shi Daiwei Yu Tao Lin DD 100 51 0 06 Dec 2023
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang Yue Xu Cewu Lu Yong-Lu Li DD 107 12 0 01 Dec 2023
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching Shitong Shao Zeyuan Yin Muxin Zhou Xindong Zhang Zhiqiang Shen DD 111 30 0 29 Nov 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 71 45 0 13 Oct 2023
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo Kai Wang George Cazenavette Hui Li Kaipeng Zhang Yang You DD 90 76 0 09 Oct 2023
Vision-Language Dataset Distillation Xindi Wu Byron Zhang Zhiwei Deng Olga Russakovsky DD VLM 86 10 0 15 Aug 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 101 83 0 22 Jun 2023
Generalizing Dataset Distillation via Deep Generative Prior George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu DD 199 93 0 02 May 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 111 143 0 19 Nov 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 217 146 0 30 Oct 2022
Efficient Dataset Distillation Using Random Feature Approximation Noel Loo Ramin Hasani Alexander Amini Daniela Rus DD 129 99 0 21 Oct 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 102 75 0 20 Jul 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks Zhiwei Deng Olga Russakovsky FedML DD 107 94 0 06 Jun 2022
Dataset Distillation using Neural Feature Regression Yongchao Zhou E. Nezhadarya Jimmy Ba DD FedML 88 159 0 01 Jun 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization Jang-Hyun Kim Jinuk Kim Seong Joon Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song DD 518 168 0 30 May 2022
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning Chengcheng Guo B. Zhao Yanbing Bai OOD 139 143 0 18 Apr 2022
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training Zhan Tong Yibing Song Jue Wang Limin Wang ViT 249 1,218 0 23 Mar 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 190 395 0 22 Mar 2022
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 148 162 0 14 Oct 2021
Dataset Condensation with Distribution Matching Bo Zhao Hakan Bilen DD 82 308 0 08 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 109 236 0 27 Jul 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training Mansheej Paul Surya Ganguli Gintare Karolina Dziugaite 127 464 0 15 Jul 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 159 207 0 27 Feb 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 273 304 0 16 Feb 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 415 2,075 0 09 Feb 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan Rishabh Iyer University of Texas at Dallas 90 212 0 19 Dec 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 167 246 0 30 Oct 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 150 503 0 10 Jun 2020
Characterizing Structural Regularities of Labeled Data in Overparameterized Models Ziheng Jiang Chiyuan Zhang Kunal Talwar Michael C. Mozer TDI 68 104 0 08 Feb 2020
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data F. Such Aditya Rawal Joel Lehman Kenneth O. Stanley Jeff Clune DD 72 157 0 17 Dec 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 638 4,824 0 13 May 2019
An Empirical Study of Example Forgetting during Deep Neural Network Learning Mariya Toneva Alessandro Sordoni Rémi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon 210 744 0 12 Dec 2018
SlowFast Networks for Video Recognition Christoph Feichtenhofer Haoqi Fan Jitendra Malik Kaiming He 171 3,298 0 10 Dec 2018
A Closer Look at Spatiotemporal Convolutions for Action Recognition Du Tran Heng Wang Lorenzo Torresani Jamie Ray Yann LeCun Manohar Paluri 256 3,040 0 30 Nov 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset João Carreira Andrew Zisserman 252 8,061 0 22 May 2017
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild K. Soomro Amir Zamir M. Shah CLIP VGen 191 6,178 0 03 Dec 2012
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 197 343 0 15 Mar 2012