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Rank-DETR for High Quality Object Detection

NeurIPS 2023 · Detection and segmentation › CNN features · approach: Efficient DETR query design · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add rank-adaptive classification head (RCH) (ablation)H-DETR · COCO val2017 R50 12ep, H-DETR baseAP: 48.7 -> 48.9Helped
add query ranking layer (QRL) (ablation)H-DETR · COCO val2017 R50 12ep, H-DETR baseAP: 48.7 -> 49.0Helped
add GIoU-aware classification loss (GCL) (ablation)H-DETR · COCO val2017 R50 12ep, H-DETR baseAP: 48.7 -> 49.4Helped
add high-order matching cost (HMC) (ablation)H-DETR · COCO val2017 R50 12ep, H-DETR baseAP: 48.7 -> 49.3Helped
add all four components (RCH, QRL, GCL, HMC) (ablation)H-DETR · COCO val2017 R50 12ep, H-DETR baseAP: 48.7 -> 50.2Helped
add QRL to the complete method (ablation)Rank-DETR · COCO val2017 R50 12ep, H-DETR baseAP: 49.5 -> 50.2Helped
use (GIoU+1)/2 as classification target instead of IoU (ablation)GCL · COCO val2017 R50 12ep, H-DETR baseAP: 50.0 -> 50.2Helped
raise matching cost IoU exponent from 1 to 4 (ablation)HMC · COCO val2017 R50 12ep, H-DETR baseAP: 48.3 -> 50.2Helped
raise matching cost IoU exponent from 4 to 6 (ablation)HMC · COCO val2017 R50 12ep, H-DETR baseAP: 50.2 -> 50.0No clear effect
use GCL instead of varifocal loss (ablation)classification loss · COCO val2017 R50 12ep, H-DETR baseAP: 49.5 -> 49.8Helped
apply Rank-DETR to H-Deformable-DETR (R50, 12 epochs)H-Deformable-DETR · COCO val2017AP: 48.7 -> 50.2Helped
apply Rank-DETR to DINO-DETR (Swin-L, 12 epochs)DINO-DETR · COCO val2017AP: 56.8 -> 57.6Helped

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