2024
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
AAAI 2024technical
The success of data mixing augmentations in image classification tasks has been well-received. However, these techniques cannot be readily applied to object detection due to challenges such as spatial misalignment, foreground/background distinction, and plurality of instances. To tackle these issues…