v1v2v3v4 (latest)

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

5 December 2019

ArXiv (abs)PDF HTML Github (669★)

Papers citing "BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition"

50 / 368 papers shown

Title
Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition Yifan Lan Xin Cai Jun Cheng Shan Tan 4 0 0 01 Sep 2025
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition Xiaolei Wei Yi Ouyang Haibo Ye MoMe 22 0 0 27 Aug 2025
Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency Yanbiao Ma Wei-Ming Dai Bowei Liu Jiayi Chen Wenke Huang Guancheng Wan Zhiwu Lu Junchi Yan FedML 36 0 0 19 Aug 2025
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model Daehee Park Monu Surana Pranav Desai Ashish Mehta Reuben MV John Kuk-Jin Yoon 35 0 0 30 Jul 2025
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits Shan Shen Shenglu Hua Jiajun Zou Jiawei Liu Jianwang Zhai Chuan Shi Wenjian Yu 50 0 0 09 Jul 2025
Compositional Attribute Imbalance in Vision Datasets Jiayi Chen Yanbiao Ma Andi Zhang Weidong Tang Wei-Ming Dai Bowei Liu CoGe 86 0 0 17 Jun 2025
Long-Tailed Learning for Generalized Category Discovery Cuong Manh Hoang 60 0 0 08 Jun 2025
Aligned Contrastive Loss for Long-Tailed Recognition Jiali Ma Jiequan Cui Maeno Kazuki Lakshmi Subramanian Karlekar Jayashree Sugiri Pranata Hanwang Zhang 84 0 0 01 Jun 2025
Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion Mengke Li Zhikai Hu Yang Lu Weichao Lan Yiu-ming Cheung Hui Huang 68 0 0 31 May 2025
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images Han Li Hu Han S.Kevin Zhou 99 0 0 24 May 2025
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data Zhining Liu Zihao Li Ze Yang Tianxin Wei Jian Kang Yada Zhu Hendrik Hamann Jingrui He Hanghang Tong LMTD 228 1 0 23 May 2025
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Xiaoshuo Yan Zerui Li Lei Meng Zhuang Qi Wei Wu Zixuan Li Xiangxu Meng CML BDL 109 0 0 13 May 2025
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning Jiang-Xin Shi Tong Wei Yu-Feng Li 99 0 0 17 Apr 2025
Celler:A Genomic Language Model for Long-Tailed Single-Cell Annotation Huan Zhao Yiming Liu Jina Yao Ling Xiong Zexin Zhou Zixing Zhang 172 1 0 28 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 653 0 0 09 Mar 2025
Multimodal Distillation-Driven Ensemble Learning for Long-Tailed Histopathology Whole Slide Images Analysis Xitong Ling Yifeng Ping Jiawen Li Jing Peng Yuxuan Chen ... Yanjie Wang Yonghong He Tian Guan Xiaoping Liu Lianghui Zhu 97 0 0 02 Mar 2025
Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels Xin-yang Zhao Jian Jin Yang-yang Li Yazhou Yao 121 0 0 27 Feb 2025
Balanced Representation Learning for Long-tailed Skeleton-based Action Recognition Hongda Liu Yunlong Wang Min Ren Junxing Hu Zhengquan Luo Guangqi Hou Zhe Sun 158 1 0 24 Feb 2025
Compressing Model with Few Class-Imbalance Samples: An Out-of-Distribution Expedition Tian-Shuang Wu Shen-Huan Lyu Ning Chen Zhihao Qu Baoliu Ye OODD 150 0 0 09 Feb 2025
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier Calibration Li Pan Yupei Zhang Qiushi Yang Tan Li Zhen Chen 143 0 0 05 Feb 2025
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition Minseok Son Inyong Koo Jinyoung Park Changick Kim 166 2 0 20 Dec 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 223 2 0 20 Nov 2024
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Chen-Long Duan Yong Li Xiu-Shen Wei Lin Zhao 94 2 0 14 Nov 2024
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head Penghui Yang Chen-Chen Zong Sheng-Jun Huang Lei Feng Bo An 252 1 0 13 Nov 2024
An Architectural Approach to Enhance Deep Long-Tailed Learning Yuhan Pan Yanan Sun Wei Gong 111 1 0 09 Nov 2024
Dataset Awareness is not Enough: Implementing Sample-level Tail Encouragement in Long-tailed Self-supervised Learning Haowen Xiao Guanghui Liu Xinyi Gao Yang Li Fengmao Lv Jielei Chu 154 0 0 30 Oct 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li Yong Liu Yang Lu Yiqun Zhang Yiu-ming Cheung Hui Huang VLM 113 7 0 28 Oct 2024
Granularity Matters in Long-Tail Learning Shizhen Zhao Xin Wen Qingbin Liu Chuofan Ma Chun Yuan Xiaojuan Qi 92 0 0 21 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure Wei Wei Sin Chee Chin Tingxuan Gao Wenming Yang 151 0 0 14 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 96 4 0 08 Oct 2024
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance Pankhi Kashyap Pavni Tandon Sunny Gupta Abhishek Tiwari Ritwik Kulkarni Kshitij Sharad Jadhav 98 1 0 05 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 107 0 0 04 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 155 0 0 02 Oct 2024
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification Jingyu Kong Yuan Guo Yu Wang Yuping Duan DiffM MedIm 99 0 0 22 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts Bowen Dong Pan Zhou W. Zuo VLM 110 0 0 17 Sep 2024
Learn from Balance: Rectifying Knowledge Transfer for Long-Tailed Scenarios Xinlei Huang Jialiang Tang Xubin Zheng Jinjia Zhou Wenxin Yu Ning Jiang 115 0 0 12 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi Da-Wei Zhou Yiran Yao Han-Jia Ye De-Chuan Zhan CLL 146 7 0 11 Sep 2024
Text-Guided Mixup Towards Long-Tailed Image Categorization Richard Franklin Jiawei Yao Deyang Zhong Qi Qian Juhua Hu VLM 84 0 0 05 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification Zhiwei Zhang 82 0 0 30 Aug 2024
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation Jiawei Han Kaiqi Liu Wei Li Guangzhi Chen 125 2 0 20 Aug 2024
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 97 3 0 19 Aug 2024
Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification Jiexuan Yan Sheng Huang Nankun Mu Luwen Huangfu Bo Liu VLM 102 0 0 15 Aug 2024
All-around Neural Collapse for Imbalanced Classification Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen AI4CE 138 1 0 14 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 94 0 0 07 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning Fengling Lv Xinyi Shang Yang Zhou Yiqun Zhang Mengke Li Yang Lu FedML 114 1 0 04 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 153 13 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 115 2 0 19 Jul 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning QiHao Zhao Yalun Dai Shen Lin Wei Hu Fan Zhang Jun Liu 122 2 0 17 Jul 2024
Non-parametric regularization for class imbalance federated medical image classification Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 108 0 0 17 Jul 2024
Adaptive Parametric Activation Konstantinos Panagiotis Alexandridis Jiankang Deng Anh Nguyen Shan Luo 106 5 0 11 Jul 2024