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Difficulty-Net: Learning to Predict Difficulty for Long-Tailed
  Recognition

Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
7 September 2022
Saptarshi Sinha
Hiroki Ohashi
ArXiv (abs)PDFHTML

Papers citing "Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition"

3 / 3 papers shown
Title
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition
Xiaolei Wei
Yi Ouyang
Haibo Ye
MoMe
70
0
0
27 Aug 2025
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition
Difficulty-aware Balancing Margin Loss for Long-tailed RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2024
Minseok Son
Inyong Koo
Jinyoung Park
Changick Kim
226
3
0
20 Dec 2024
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
269
287
0
18 Jun 2020
1