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Accelerating DETR Convergence via Semantic-Aligned Matching

CVPR 2022 · Detection and segmentation › CNN features · approach: Region-based and query-based detectors · 124 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add semantic-aligned matching with query resampling (ablation)DETR · COCO val 2017, 12 epochsAP: 22.3 -> 25.2Helped
Replace average-pooling with max-pooling resampling (ablation)SAM-DETR · COCO val 2017, 12 epochsAP: 25.2 -> 27.0Helped
Use one salient point instead of max-pooling (ablation)SAM-DETR · COCO val 2017, 12 epochsAP: 27.0 -> 28.6Helped
Add reweighting by previous query embeddings (ablation)SAM-DETR with one salient point · COCO val 2017, 12 epochsAP: 28.6 -> 30.3Helped
Use eight salient points instead of one (ablation)SAM-DETR · COCO val 2017, 12 epochsAP: 28.6 -> 32.0Helped
Add reweighting by previous query embeddings (ablation)SAM-DETR with eight salient points · COCO val 2017, 12 epochsAP: 32.0 -> 33.1Helped
Constrain salient-point search to reference boxes rather than the full image (ablation)SAM-DETR · COCO val 2017, 12 epochsAP: 30.0 -> 33.1Helped
Add semantic-aligned matchingDETR-R50 · COCO 2017 val, R50, 12 epochsAP: +10.8% APHelped
Integrate SAM-DETR with SMCASAM-DETR-R50 · COCO 2017 val, R50, 12 epochsAP: +2.9% APHelped
Integrate SAM-DETR with SMCASAM-DETR-R50 · COCO 2017 val, R50, 12 epochsAP: 33.1 -> 36.0Helped

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