Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

5 October 2020

Papers citing "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts"

50 / 219 papers shown

Title
A Touch, Vision, and Language Dataset for Multimodal Alignment Letian Fu Gaurav Datta Huang Huang Will Panitch Jaimyn Drake Joseph Ortiz Mustafa Mukadam Mike Lambeta Roberto Calandra Ken Goldberg VLM 27 32 0 20 Feb 2024
Training Class-Imbalanced Diffusion Model Via Overlap Optimization Divin Yan Lu Qi Vincent Tao Hu Ming-Hsuan Yang Meng Tang 34 5 0 16 Feb 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 23 0 0 08 Feb 2024
Reviving Undersampling for Long-Tailed Learning Hao Yu Yingxiao Du Jianxin Wu 28 1 0 30 Jan 2024
Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu Minghao Fu Jie Shao Tianyu Liu Jianxin Wu 43 2 0 29 Jan 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification Yanbiao Ma Licheng Jiao F. Liu Shuyuan Yang Xu Liu Puhua Chen 25 10 0 21 Jan 2024
Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning Chengcheng Ma Ismail Elezi Jiankang Deng Weiming Dong Changsheng Xu 16 9 0 25 Dec 2023
Debiased Learning for Remote Sensing Data Chun-Hsiao Yeh Xudong Wang Stella X. Yu Charles Hill Zackery Steck Scott Kangas Aaron A. Reite 15 0 0 24 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 35 14 0 17 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 23 14 0 14 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 21 4 0 05 Dec 2023
Long-Tail Learning with Rebalanced Contrastive Loss Charika De Alvis Dishanika Denipitiyage Suranga Seneviratne 21 1 0 04 Dec 2023
Data-Centric Long-Tailed Image Recognition Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Puhua Chen 42 1 0 03 Nov 2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach Zhenbang Du Jiayu An Yunlu Tu Jiahao Hong Dongrui Wu MoE 22 1 0 01 Nov 2023
Long-Tailed Learning as Multi-Objective Optimization Weiqi Li Fan Lyu Fanhua Shang Liang Wan Wei Feng 18 4 0 31 Oct 2023
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition Yuhang Zhang Yaqi Li Lixiong Qin Xuannan Liu Weihong Deng 43 16 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 44 11 0 28 Oct 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
Deep Imbalanced Regression via Hierarchical Classification Adjustment Haipeng Xiong Angela Yao 25 3 0 26 Oct 2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge G. Holste Yiliang Zhou Song Wang Ajay Jaiswal Mingquan Lin ... Zhiyong Lu Ronald M. Summers George Shih Zhangyang Wang Yifan Peng 23 13 0 24 Oct 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection Zhongzhan Huang Pan Zhou Shuicheng Yan Liang Lin 24 26 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 32 0 0 12 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 24 0 0 11 Oct 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 28 24 0 07 Oct 2023
SCoRe: Submodular Combinatorial Representation Learning Anay Majee Suraj Kothawade Krishnateja Killamsetty Rishabh K. Iyer 23 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 16 11 0 28 Sep 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 22 5 0 26 Sep 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 32 26 0 18 Sep 2023
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 35 14 0 13 Sep 2023
ConR: Contrastive Regularizer for Deep Imbalanced Regression Mahsa Keramati Lili Meng R. D. Evans 29 9 0 13 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts Si-Yu Yi Zhengyan Mao Wei Ju Yong-Dao Zhou Luchen Liu Xiao Luo Ming Zhang 30 7 0 31 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 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
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition QiHao Zhao Chen Jiang Wei Hu Fangying Zhang Jun Liu 35 11 0 19 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts S. Park Seunghan Yang Jaegul Choo Sungrack Yun VLM TTA 30 18 0 17 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
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition Yixuan Zhou Yi Qu Xing Xu Hengtao Shen 33 16 0 15 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 27 16 0 04 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 23 3 0 02 Aug 2023
General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds with One Stone Zenghao Bao Zichang Tan Jun Yu Li Jun Wan Xibo Ma Zhen Lei 19 7 0 19 Jul 2023
Class Instance Balanced Learning for Long-Tailed Classification Marc-Antoine Lavoie Steven Waslander 45 0 0 11 Jul 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 34 2 0 05 Jul 2023
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition Zichang Tan Jun Yu Li Jinhao Du Jun Wan Zhen Lei Guodong Guo VLM 28 21 0 29 Jun 2023
Subclass-balancing Contrastive Learning for Long-tailed Recognition Chengkai Hou Jieyu Zhang Hong Wang Dinesh Manocha 26 21 0 28 Jun 2023
Balanced Energy Regularization Loss for Out-of-distribution Detection Hyunjun Choi Hawook Jeong Jin Young Choi OODD 33 19 0 18 Jun 2023
Norm-guided latent space exploration for text-to-image generation Dvir Samuel Rami Ben-Ari N. Darshan Haggai Maron Gal Chechik DiffM 29 24 0 14 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 24 29 0 12 Jun 2023
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition Mengke Li Zhikai Hu Yang Lu Weichao Lan Yiu-ming Cheung Hui Huang 24 19 0 12 Jun 2023
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning Jaehyung Kim Jinwoo Shin Dongyeop Kang 11 2 0 08 Jun 2023