Rethinking Rotated Object Detection with Gaussian Wasserstein Distance
Loss
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance
Loss
Boundary discontinuity and its inconsistency to the final detection metric have been the bottleneck for rotating detection regression loss design. In this paper, we propose a novel regression loss based on Gaussian Wasserstein distance as a fundamental approach to solve the problem. Specifically, the rotated bounding box is converted to …