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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
Learning from Rich Semantics and Coarse Locations for Long-tailed Object DetectionCode0
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative LearningCode0
Fractal Calibration for long-tailed object detectionCode0
Consensus Focus for Object Detection and minority classesCode0
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