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arXiv Computer Vision By Wenxiao Fan, Jingling Fu, Luohang Liu, Lichen Ma, Yu He, Zhiyang Yu, Weishan Bi, Junshi Huang, Yan Li, Gu Simiu, Kan Li

Match One, Learn with Graph: One-to-Graph Query Collaboration with Backward Sharing for Object Detection

Read the original on arXiv Computer Vision →

The paper introduces BS‑O2G, a plug‑in that constructs a sparse prediction‑aware graph from decoded features, boxes, and class distributions to enable one‑to‑graph query collaboration in Detection Transformers. It uses One‑to‑Graph (O2G) calibration to propagate messages forward and Backward Sharing (BS) to route gradients backward, preserving the original one‑to‑one matcher and positive labels. Experiments on various DETR models, backbones, COCO, and CrowdHuman datasets demonstrate consistent performance gains, faster convergence, and minimal additional parameters or FLOPs.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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