CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition

10 February 2023

Papers citing "CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition"

24 / 24 papers shown

Title
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning Jiang-Xin Shi Tong Wei Yu-Feng Li 20 0 0 17 Apr 2025
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning Hanyu Liu Ying Yu Hang Xiao Siyao Li Xuze Li Jiarui Li Haotian Tang 28 0 0 22 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 70 1 0 06 Mar 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples Hansung Choi Daewon Seo 36 0 0 24 Feb 2025
An Architectural Approach to Enhance Deep Long-Tailed Learning Yuhan Pan Yanan Sun Wei Gong 24 0 0 09 Nov 2024
Diffusion Curriculum: Synthetic-to-Real Generative Curriculum Learning via Image-Guided Diffusion Yijun Liang Shweta Bhardwaj Tianyi Zhou 16 0 0 17 Oct 2024
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations Lu Pang Tao Sun Weimin Lyu Haibin Ling C. L. P. Chen AAML 14 0 0 16 Oct 2024
A Systematic Review on Long-Tailed Learning Chongsheng Zhang G. Almpanidis Gaojuan Fan Binquan Deng Yanbo Zhang Ji Liu Aouaidjia Kamel Paolo Soda Joao Gama 25 6 0 01 Aug 2024
Revisiting Adversarial Training under Long-Tailed Distributions Xinli Yue Ningping Mou Qian Wang Lingchen Zhao AAML 21 7 0 15 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition Jie Shao Ke Zhu Hanxiao Zhang Jianxin Wu 23 4 0 08 Mar 2024
Data-Centric Long-Tailed Image Recognition Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Puhua Chen 27 1 0 03 Nov 2023
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery Sarah Rastegar Hazel Doughty Cees G. M. Snoek 16 15 0 30 Oct 2023
How Re-sampling Helps for Long-Tail Learning? Jiang-Xin Shi Tong Wei Yuke Xiang Yu-Feng Li 9 20 0 27 Oct 2023
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Lingling Li OOD 21 7 0 16 Oct 2023
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi Tong Wei Zhi-Hua Zhou Jiejing Shao Xin-Yan Han Yu-Feng Li 11 26 0 18 Sep 2023
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning Zitan Chen Zhuang Qi Xiao Cao Xiangxian Li Xiangxu Meng Lei Meng 8 8 0 08 Aug 2023
Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation Gabriel Tjio Ping Liu C. Kwoh Joey Tianyi Zhou 24 0 0 18 Apr 2023
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 76 129 0 06 Oct 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 152 541 0 21 Jul 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 240 765 0 05 Dec 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 210 13,886 0 02 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 148 25,150 0 09 Jun 2011