SOTAVerified

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
On Model Calibration for Long-Tailed Object Detection and Instance SegmentationCode1
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object DetectionCode1
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object DetectionCode1
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object DetectionCode1
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance SegmentationCode1
Show:102550
← PrevPage 3 of 3Next →

No leaderboard results yet.