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Found 3 papers, 2 papers with code
A Transformer-based Network for Deformable Medical Image Registration
Deformable medical image registration plays an important role in clinical diagnosis and treatment.
RSDet++: Point-based Modulated Loss for More Accurate Rotated Object Detection
We classify the discontinuity of loss in both five-param and eight-param rotated object detection methods as rotation sensitivity error (RSE) which will result in performance degeneration.
Learning Modulated Loss for Rotated Object Detection
Popular rotated detection methods usually use five parameters (coordinates of the central point, width, height, and rotation angle) to describe the rotated bounding box and l1-loss as the loss function.
Ranked #43 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
