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News/TinyFormer: Preserving Tiny Objects in YOLO-DETRHybridReal-time Detectors
arxiv
PublishedMay 26, 2026 at 4:00 AM

TinyFormer: Preserving Tiny Objects in YOLO-DETRHybridReal-time Detectors

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arXiv:2605.25046v1 Announce Type: cross Abstract: YOLO-series and DETR-based detectors struggle with tiny-object detection. YOLO-style models benefit from efficient dense prediction, but their large-stride backbones may suppress tiny instances in deep feature maps and make grid assignment ambiguous.

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