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Changqing Yin

2 accepted papers

2021

Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection

CVPR 2021poster

Recently proposed decoupled training methods emerge as a dominant paradigm for long-tailed object detection. But they require an extra fine-tuning stage, and the disjointed optimization of representation and classifier might lead to suboptimal results. However, end-to-end training methods, like equa…

Cited by 211PDFcodeScholar
2020

Equalization Loss for Long-Tailed Object Recognition

CVPR 2020poster

Object recognition techniques using convolutional neural networks (CNN) have achieved great success. However, state-of-the-art object detection methods still perform poorly on large vocabulary and long-tailed datasets, e.g. LVIS. In this work, we analyze this problem from a novel perspective: each p…

Cited by 612PDFcodeScholar