Remix: Rebalanced Mixup

8 July 2020

Papers citing "Remix: Rebalanced Mixup"

35 / 35 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 31 0 0 15 Apr 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
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 46 2 0 24 Aug 2024
Frequency-based Matcher for Long-tailed Semantic Segmentation Shan Li Lu Yang Pu Cao Liulei Li Huadong Ma 31 1 0 06 Jun 2024
SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition Sanglee Park Seung-won Hwang Jungmin So 34 0 0 04 Jun 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification Xin Jin Hongyu Zhu M. El-Yacoubi Hongchao Liao Huafeng Qin Yun Jiang 33 6 0 21 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 95 19 0 15 May 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 33 12 0 07 Mar 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 15 17 0 18 Dec 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 53 1 0 02 Nov 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
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 25 6 0 05 Jun 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 16 30 0 10 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 16 5 0 25 Jan 2023
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 19 31 0 05 Dec 2022
SVFormer: Semi-supervised Video Transformer for Action Recognition Zhen Xing Qi Dai Hang-Rui Hu Jingjing Chen Zuxuan Wu Yu-Gang Jiang ViT 22 68 0 23 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition Minki Jeong Changick Kim 23 1 0 22 Nov 2022
Learning Gradient-based Mixup towards Flatter Minima for Domain Generalization Danni Peng Sinno Jialin Pan 14 2 0 29 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes Shungo Fujii Yasunori Ishii Kazuki Kozuka Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 22 2 0 12 Sep 2022
Tackling Long-Tailed Category Distribution Under Domain Shifts Xiao Gu Yao Guo Zeju Li Jianing Qiu Qianming Dou Yuxuan Liu Benny P. L. Lo Guangxu Yang OOD 35 12 0 20 Jul 2022
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification Chenghua Zeng Huijuan Lu Kanghao Chen Ruixuan Wang Weishi Zheng 14 2 0 14 Jul 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 17 6 0 10 Jun 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth M. Felsberg Marco Kuhlmann 8 22 0 10 Jun 2022
Universum-inspired Supervised Contrastive Learning Aiyang Han Chuanxing Geng Songcan Chen SSL 21 3 0 22 Apr 2022
Long-Tailed Classification with Gradual Balanced Loss and Adaptive Feature Generation Zihan Zhang Xiang Xiang VLM 9 2 0 28 Feb 2022
Preventing Manifold Intrusion with Locality: Local Mixup Raphael Baena Lucas Drumetz Vincent Gripon AAML 19 15 0 12 Jan 2022
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification Seulki Park Youngkyu Hong Byeongho Heo Sangdoo Yun J. Choi 13 146 0 01 Dec 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 29 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 49 52 0 06 Nov 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis Jikai Jin Samir Bhatt Haiyang Wang Liwei Wang 12 46 0 24 Oct 2021
Balanced-MixUp for Highly Imbalanced Medical Image Classification Adrian Galdran G. Carneiro M. A. G. Ballester 11 99 0 20 Sep 2021
Survey: Image Mixing and Deleting for Data Augmentation Humza Naveed Saeed Anwar Munawar Hayat Kashif Javed Ajmal Mian 26 76 0 13 Jun 2021
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 14 63 0 19 Oct 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 24 99 0 06 Jan 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 240 780 0 05 Dec 2019