Papers Test Agnostic Long-Tailed Learning

“Test Agnostic Long-Tailed Learning” 태그가 달린 논문 2편 · 필터 해제

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition

2024-05-13 · Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li 외

This paper explores test-agnostic long-tail recognition, a challenging long-tail task where the test label distributions are unknown and arbitrarily imbalanced. We argue that the variation in these distributions can be b…

Diversity Image Classification Long-tail Learning Test Agnostic Long-Tailed Learning

Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition

2021-07-20 · Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng

Existing long-tailed recognition methods, aiming to train class-balanced models from long-tailed data, generally assume the models would be evaluated on the uniform test class distribution. However, practical test class …

Image Classification Long-tail Learning Test Agnostic Long-Tailed Learning