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Long-tailed Object Detection

The training dataset obeys a long-tailed distribution, i.e., the head categories occupy most samples whereas the tail categories only own a few samples. However, the testing dataset is balanced across categories.

Papers

Showing 2125 of 25 papers

TitleStatusHype
Semi-Supervised and Long-Tailed Object Detection with CascadeMatchCode0
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data0
Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection0
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