Feature Space Augmentation for Long-Tailed Data

9 August 2020

Peng Chu

Papers citing "Feature Space Augmentation for Long-Tailed Data"

50 / 125 papers shown

Title
Enhancing Features in Long-tailed Data Using Large Vision Model Pengxiao Han Changkun Ye Jinguang Tong Cuicui Jiang Jie Hong Li Fang Xuesong Li VLM 33 0 0 15 Apr 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 149 0 0 23 Jan 2025
Class Incremental Fault Diagnosis under Limited Fault Data via Supervised Contrastive Knowledge Distillation H. Zhang Yifei Yao Zixuan Wang Jiayuan Su Mengxuan Li Peng Peng Hongwei Wang CLL 49 0 0 16 Jan 2025
Normalizing Batch Normalization for Long-Tailed Recognition Yuxiang Bao Guoliang Kang Linlin Yang Xiaoyue Duan Bo Zhao Baochang Zhang MQ 47 0 0 06 Jan 2025
Semantic Data Augmentation for Long-tailed Facial Expression Recognition Z. Li Yan Wang Bowen Guan JianKai Yin CVBM 94 1 0 26 Nov 2024
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations Lu Pang Tao Sun Weimin Lyu Haibin Ling C. L. P. Chen AAML 21 0 0 16 Oct 2024
Learning De-Biased Representations for Remote-Sensing Imagery Zichen Tian Zhaozheng Chen Qianru Sun 28 0 0 06 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 36 0 0 26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models Mao Ye Gregory P. Meyer Zaiwei Zhang Dennis Park Siva Karthik Mustikovela Yuning Chai Eric M. Wolff VLM 31 1 0 23 Sep 2024
Efficient Classification of Histopathology Images Mohammad Iqbal Nouyed Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh 28 0 0 08 Sep 2024
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition Zaiwei Zhang Gregory P. Meyer Zhichao Lu Ashish Shrivastava Avinash Ravichandran Eric M. Wolff VLM 41 2 0 29 Aug 2024
Optimal Layer Selection for Latent Data Augmentation Tomoumi Takase Ryo Karakida 33 1 0 24 Aug 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 27 6 0 01 Aug 2024
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks Thao Hoang Linh Nguyen Khoi Do Duong Nguyen Viet Dung Nguyen 23 2 0 19 Jul 2024
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition Jiahang Zhang Lilang Lin Jiaying Liu 33 5 0 17 Jul 2024
An Efficient NAS-based Approach for Handling Imbalanced Datasets Zhiwei Yao 33 0 0 22 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 44 6 0 06 Jun 2024
FloodDamageCast: Building Flood Damage Nowcasting with Machine Learning and Data Augmentation Chia-Fu Liu Lipai Huang Kai Yin Samuel D. Brody Ali Mostafavi AI4CE 26 1 0 23 May 2024
Cross-Domain Feature Augmentation for Domain Generalization Yingnan Liu Yingtian Zou Rui Qiao Fusheng Liu M. Lee W. Hsu OOD 33 4 0 14 May 2024
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data Rongyu Zhang Yun Chen Chenrui Wu Fangxin Wang Boyan Li 35 12 0 10 May 2024
Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning Rafael Elberg Denis Parra Mircea Petrache MedIm DiffM 26 2 0 02 May 2024
DELTA: Decoupling Long-Tailed Online Continual Learning S. Raghavan Jiangpeng He F. Zhu 69 2 0 06 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 37 6 0 29 Mar 2024
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs Donghyun Kim Byeongho Heo Dongyoon Han 42 14 0 28 Mar 2024
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 35 4 0 12 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition Chaoqun Du Yulin Wang Shiji Song Gao Huang 41 24 0 11 Mar 2024
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition Jie Shao Ke Zhu Hanxiao Zhang Jianxin Wu 35 4 0 08 Mar 2024
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning Linjie Li S. Liu Zhenyu Wu JI yang CLL 37 0 0 08 Feb 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification Yanbiao Ma Licheng Jiao F. Liu Shuyuan Yang Xu Liu Puhua Chen 23 10 0 21 Jan 2024
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models Mingli Zhu Zihao Zhu Sihong Chen Chen Chen Baoyuan Wu CLL 39 3 0 14 Jan 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning Lan Li Bowen Tao Lu Han De-Chuan Zhan Han-jia Ye SSL 29 4 0 27 Dec 2023
Long-Tail Learning with Rebalanced Contrastive Loss Charika De Alvis Dishanika Denipitiyage Suranga Seneviratne 19 1 0 04 Dec 2023
Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification Jiahuan Yan Haojun Gao Zhang Kai Weize Liu D. Z. Chen Jian Wu Jintai Chen 13 3 0 28 Nov 2023
Data-Centric Long-Tailed Image Recognition Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Puhua Chen 35 1 0 03 Nov 2023
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning Jaya Kalla Soma Biswas CLL 20 5 0 02 Nov 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition Haocheng Luo Wei Tan Ngoc Dang Nguyen Lan Du 17 2 0 02 Nov 2023
How Re-sampling Helps for Long-Tail Learning? Jiang-Xin Shi Tong Wei Yuke Xiang Yu-Feng Li 27 20 0 27 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 Oct 2023
Zone Evaluation: Revealing Spatial Bias in Object Detection Zhaohui Zheng Yuming Chen Qibin Hou Xiang Li Ping Wang Ming-Ming Cheng ObjD 24 3 0 20 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 28 7 0 16 Oct 2023
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss Jinye Yang Ji Xu Di Wu Jianhang Tang Shaobo Li Guoyin Wang 22 0 0 12 Oct 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 44 16 0 16 Sep 2023
ConR: Contrastive Regularizer for Deep Imbalanced Regression Mahsa Keramati Lili Meng R. D. Evans 27 9 0 13 Sep 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 20 5 0 25 Aug 2023
Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition Siming Fu Xiaoxuan He Xinpeng Ding Yuchen Cao Hualiang Wang VLM 27 6 0 24 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning T. Malepathirana Damith A. Senanayake Saman K. Halgamuge CLL 24 12 0 18 Aug 2023
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation Jun Shen Long Chen Kun Kuang Fei Wu Tian Feng Wei Zhang MoE 32 0 0 16 Aug 2023
Compositional Feature Augmentation for Unbiased Scene Graph Generation Lin Li Guikun Chen Jun Xiao Yi Yang Chunping Wang Long Chen 31 25 0 13 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem CLL 31 8 0 03 Aug 2023
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation Moon Ye-Bin Jisoo Kim Hong-Kyu Kim Kilho Son Tae-Hyun Oh 21 9 0 27 Jul 2023