Targeted Supervised Contrastive Learning for Long-Tailed Recognition

27 November 2021

Papers citing "Targeted Supervised Contrastive Learning for Long-Tailed Recognition"

50 / 101 papers shown

Title
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 42 0 0 11 Mar 2025
Improve Representation for Imbalanced Regression through Geometric Constraints Zijian Dong Yilei Wu Chongyao Chen Yingtian Zou Yichi Zhang Juan Helen Zhou 37 0 0 02 Mar 2025
Multi-level Supervised Contrastive Learning Naghmeh Ghanooni Barbod Pajoum Harshit Rawal Sophie Fellenz Vo Nguyen Le Duy Marius Kloft 78 0 0 04 Feb 2025
ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression Botao Zhao Xiaoyang Qu Zuheng Kang Junqing Peng Jing Xiao Jianzong Wang 33 0 0 13 Jan 2025
Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection Yi Liu Chengxin Li Xiaohui Dong Lei Li Dingwen Zhang Shoukun Xu J. Han 68 0 0 22 Dec 2024
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition Minseok Son Inyong Koo Jinyoung Park Changick Kim 66 0 0 20 Dec 2024
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting Linhai Zhuo Zheng Wang Yuqian Fu Tianwen Qian VLM 69 1 0 01 Dec 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 31 0 0 15 Oct 2024
LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection U Jin Jeong Sumin Roh Il Yong Chun 17 0 0 10 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 34 0 0 26 Sep 2024
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios Xinlei Huang Jialiang Tang Xubin Zheng Jinjia Zhou Wenxin Yu Ning Jiang 16 0 0 12 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 23 2 0 29 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 14 0 0 20 Aug 2024
All-around Neural Collapse for Imbalanced Classification Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen AI4CE 21 0 0 14 Aug 2024
Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning Tianhang Pan Zhuoran Zheng 45 0 0 12 Aug 2024
PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings Vaibhav Ganatra Drishti Goel 37 0 0 11 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 25 6 0 01 Aug 2024
Adaptive Parametric Activation Konstantinos Panagiotis Alexandridis Jiankang Deng Anh Nguyen Shan Luo 20 2 0 11 Jul 2024
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation Yuanhong Chen Chong Wang Yuyuan Liu Hu Wang Gustavo Carneiro 29 2 0 07 Jul 2024
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation Haolin Pan Yong Guo Mianjie Yu Jian Chen 28 1 0 06 Jul 2024
ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment Ziyan Wang Zhankun Xiong Feng Huang Xuan Liu Wen Zhang 23 0 0 01 Jul 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition Sanglee Park Seung-won Hwang Jungmin So 29 0 0 04 Jun 2024
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization Jiawei Ma Yulei Niu Shiyuan Huang G. Han Shih-Fu Chang VLM 27 1 0 28 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective Leyuan Wang Liuyu Xiang Yunlong Wang Huijia Wu Zhaofeng He CLL 14 0 0 24 May 2024
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks Zitong Huang Ze Chen Bowen Dong Chaoqi Liang Erjin Zhou Wangmeng Zuo MoMe CLL 34 3 0 25 Apr 2024
Contextrast: Contextual Contrastive Learning for Semantic Segmentation Chan-Yong Sung Wanhee Kim Jungho An Wooju Lee Hyungtae Lim Hyun Myung 34 11 0 16 Apr 2024
DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets Harsh Rangwani Pradipto Mondal Mayank Mishra Ashish Ramayee Asokan R. V. Babu 21 8 0 03 Apr 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning Noor Ahmed Anna Kukleva Bernt Schiele CLL 17 12 0 27 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee Heeyoung Kim 16 1 0 15 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition Chaoqun Du Yulin Wang Shiji Song Gao Huang 23 23 0 11 Mar 2024
Decoupled Contrastive Learning for Long-Tailed Recognition Shiyu Xuan Shiliang Zhang 28 5 0 10 Mar 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content QiHao Zhao Yalun Dai Hao Li Wei Hu Fan Zhang Jun Liu 24 15 0 09 Mar 2024
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features Tina Behnia Christos Thrampoulidis SSL 23 0 0 29 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization Divin Yan Lu Qi Vincent Tao Hu Ming-Hsuan Yang Meng Tang 14 5 0 16 Feb 2024
Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening Hoyong Kim Semi Lee Kangil Kim CLL 16 2 0 26 Jan 2024
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective Xuechen Zhang Mingchen Li Jiasi Chen Christos Thrampoulidis Samet Oymak 14 2 0 25 Jan 2024
Object-Aware Domain Generalization for Object Detection Wooju Lee Dasol Hong Hyungtae Lim Hyun Myung 21 14 0 19 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning Wenjun Miao Guansong Pang Tianqi Li Xiaolong Bai Jingyi Zheng OODD 20 14 0 17 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 15 1 0 05 Dec 2023
Long-Tail Learning with Rebalanced Contrastive Loss Charika De Alvis Dishanika Denipitiyage Suranga Seneviratne 11 1 0 04 Dec 2023
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples Ziye Fang Xin Jiang Hao Tang Zechao Li 17 12 0 10 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 10 13 0 30 Oct 2023
Combating Representation Learning Disparity with Geometric Harmonization Zhihan Zhou Jiangchao Yao Feng Hong Ya-Qin Zhang Bo Han Yanfeng Wang 13 5 0 26 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 16 0 0 11 Oct 2023
SCoRe: Submodular Combinatorial Representation Learning Anay Majee Suraj Kothawade Krishnateja Killamsetty Rishabh K. Iyer 11 1 0 29 Sep 2023
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition Qiong Chen Tianlin Huang Geren Zhu Enlu Lin MQ 11 11 0 28 Sep 2023
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning Huiwei Lin Shanshan Feng Baoquan Zhang Xutao Li Y. Ong CLL 22 0 0 26 Sep 2023
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited Patrick Feeney M. C. Hughes 13 3 0 25 Sep 2023
Road Disease Detection based on Latent Domain Background Feature Separation and Suppression Juwu Zheng Jiangtao Ren 11 2 0 14 Sep 2023
ConR: Contrastive Regularizer for Deep Imbalanced Regression Mahsa Keramati Lili Meng R. D. Evans 8 9 0 13 Sep 2023