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The Equalization Losses: Gradient-Driven Training for Long-tailed Object
  Recognition

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition

11 October 2022
Jingru Tan
Yue Liu
Xin Lu
Yongqiang Yao
F. Yu
Tong He
Wanli Ouyang
ArXiv (abs)PDFHTMLGithub (432★)

Papers citing "The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition"

2 / 2 papers shown
Title
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images
Han Li
Hu Han
S.Kevin Zhou
73
0
0
24 May 2025
Overcoming Classifier Imbalance for Long-tail Object Detection with
  Balanced Group Softmax
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Yu Li
Tao Wang
Bingyi Kang
Sheng Tang
Chunfeng Wang
Jintao Li
Jiashi Feng
164
267
0
18 Jun 2020
1