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#534
summarized by : Anonymous
どんな論文か?
improving query-based detectors; Previous detectors suffer from two drawbacks: multi-detections for a single object in crowded scenes, prediction does not improve after stacking more decoder layers;
新規性
accepted queries prone to generate true positive predictions, then refine the rest noisy queries according to the previously accepted predictions
結果
Sparse RCNN + proposed module, SOTA results on CrowdHuman dataset, consistent improvements on slightly crowded datasets CityPersons and COCO.
その他(なぜ通ったか?等)
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