A real-time detector with deformable attention, domain alignment, view-conditioning, and adaptive augmentation reports 49.1 COCO mAP and large gains on self-built fisheye, panorama, drone, and game-style benchmarks.
A theory of learning from different domains.Machine learning, 79(1): 151–175, 2010
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YOLOv14: Adaptive Real-Time Object Detection for Diverse Imaging Conditions
A real-time detector with deformable attention, domain alignment, view-conditioning, and adaptive augmentation reports 49.1 COCO mAP and large gains on self-built fisheye, panorama, drone, and game-style benchmarks.