Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition

1 May 2021

Papers citing "Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition"

9 / 9 papers shown

Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang Li Zhang Xiaochun Cao Qingming Huang 67 0 0 03 May 2025
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning Xiaoyu Gan Xizi Chen Jingyang Zhu Xiaomeng Wang Jingbo Jiang Chi-Ying Tsui FedML 102 0 0 23 Nov 2024
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 37 33 0 05 Dec 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 27 123 0 27 May 2022
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 783 0 05 Dec 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 176 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 466 11,715 0 09 Mar 2017
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 243 447 0 28 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 309 10,233 0 16 Nov 2016