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

5 December 2019

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

50 / 110 papers shown

Title
Empowering Vision Transformers with Multi-Scale Causal Intervention for Long-Tailed Image Classification Xiaoshuo Yan Z. Li Lei Meng Zhuang Qi Wei Wu Zixuan Li X. Meng CML BDL 40 0 0 13 May 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 168 0 0 09 Mar 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 48 0 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 44 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 49 0 0 05 Feb 2025
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 76 0 0 20 Nov 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 57 0 0 02 Oct 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 42 5 0 11 Sep 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 34 0 0 07 Aug 2024
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Zekai Wang Tieming Liu B. Yao 31 0 0 30 Jun 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency Weide Liu Jingwen Hou Xiaoyang Zhong Huijing Zhan Jun Cheng Yuming Fang Guanghui Yue 22 0 0 14 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition Sanglee Park Seung-won Hwang Jungmin So 41 0 0 04 Jun 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 35 12 0 07 Mar 2024
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation Haoyu Xie Changqi Wang Jian-jun Zhao Yang Liu Jun Dan Chong Fu Baigui Sun SSL 36 8 0 28 Feb 2024
Reviving Undersampling for Long-Tailed Learning Hao Yu Yingxiao Du Jianxin Wu 26 1 0 30 Jan 2024
Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu Minghao Fu Jie Shao Tianyu Liu Jianxin Wu 38 2 0 29 Jan 2024
LanDA: Language-Guided Multi-Source Domain Adaptation Zhenbin Wang Lei Zhang Lituan Wang Minjuan Zhu 27 10 0 25 Jan 2024
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 23 13 0 30 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 38 11 0 28 Oct 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
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation Yu Min Aming Wu Cheng Deng 22 6 0 07 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 19 16 0 04 Aug 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 22 90 0 19 May 2023
Feature-Balanced Loss for Long-Tailed Visual Recognition Mengke Li Y. Cheung Juyong Jiang CVBM 29 13 0 18 May 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing Tingting Wu Xiao Ding Minji Tang Haotian Zhang Bing Qin Ting Liu NoLa 26 9 0 18 May 2023
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species Tayfun Karaderi T. Burghardt R. Morard D. Schmidt 30 1 0 11 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 29 5 0 01 May 2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph Yanming Hu Chuan Chen Bowen Deng Yujing Lai Hao Lin Zibin Zheng Jing Bian 27 1 0 11 Apr 2023
Improving Image Recognition by Retrieving from Web-Scale Image-Text Data Ahmet Iscen Alireza Fathi Cordelia Schmid VLM 3DV 33 25 0 11 Apr 2023
Exploring Vision-Language Models for Imbalanced Learning Yidong Wang Zhuohao Yu Jindong Wang Qiang Heng Haoxing Chen Wei Ye Rui Xie Xingxu Xie Shi-Bo Zhang VLM 31 30 0 04 Apr 2023
Predicting and Enhancing the Fairness of DNNs with the Curvature of Perceptual Manifolds Yanbiao Ma Licheng Jiao F. Liu Maoji Wen Lingling Li Wenping Ma Shuyuan Yang Xu Liu Puhua Chen 36 5 0 22 Mar 2023
Equiangular Basis Vectors Yang Shen Xuhao Sun Xiuying Wei 33 7 0 21 Mar 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 28 30 0 10 Feb 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 36 1 0 07 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 22 13 0 01 Feb 2023
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning Wenkai Yang Deli Chen Hao Zhou Fandong Meng Jie Zhou Xu Sun FedML 35 5 0 25 Jan 2023
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 35 32 0 05 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge Jintao Lin Zhaoyang Liu Wenhai Wang Wayne Wu Limin Wang 39 0 0 03 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 19 1 0 03 Dec 2022
Compound Batch Normalization for Long-tailed Image Classification Lechao Cheng Chaowei Fang Dingwen Zhang Guanbin Li Gang Huang 40 11 0 02 Dec 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 20 12 0 20 Nov 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh V. Chawla 24 39 0 17 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 28 13 0 13 Oct 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 29 3 0 13 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes Shungo Fujii Yasunori Ishii Kazuki Kozuka Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 37 2 0 12 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition Konstantinos Panagiotis Alexandridis Shang Luo Anh H. Nguyen Jiankang Deng S. Zafeiriou 40 9 0 11 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 11 6 0 07 Sep 2022
Bag of Tricks for Out-of-Distribution Generalization Zining Chen Weiqiu Wang Zhicheng Zhao Aidong Men Hong Chen 25 2 0 23 Aug 2022
LTE4G: Long-Tail Experts for Graph Neural Networks Sukwon Yun Kibum Kim Kanghoon Yoon Chanyoung Park 30 39 0 22 Aug 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning Hualiang Wang Siming Fu Xiaoxuan He Han Fang Zuozhu Liu Haoji Hu 30 17 0 22 Aug 2022