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Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation

CVPR 2021 · Detection and segmentation › Tracking · approach: Foundation-model and correlation-filter tracking · 231 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add Alpha-Refine to DiMPsuperDiMPsuper · LaSOT testAUC: 63.7 -> 65.3Helped
Add Alpha-Refine to DiMPsuperDiMPsuper · TrackingNet testAUC: 77.6 -> 80.5Helped
Add Alpha-Refine to DiMPsuperDiMPsuper · GOT-10K testAO: 67.2 -> 70.1Helped
Add Alpha-Refine to DiMPsuperDiMPsuper · VOT2020 real-timeEAO: 0.311 -> 0.478Helped
Add an auxiliary mask head to the corner-head refinement module (ablation)SiamRPNpp+AR · LaSOT testAUC: 54.6 -> 55.9Helped
Replace the corner head with an RPN-style head while retaining the mask head (ablation)SiamRPNpp+AR · LaSOT testAUC: 55.9 -> 53.7Hurt
Replace the corner head with an RCNN-style head while retaining the mask head (ablation)SiamRPNpp+AR · LaSOT testAUC: 55.9 -> 51.6Hurt
Replace the corner head with an RPN-style head and omit the mask head (ablation)SiamRPNpp+AR · LaSOT testAUC: 55.9 -> 50.2Hurt
Replace the corner head with an RCNN-style head and omit the mask head (ablation)SiamRPNpp+AR · LaSOT testAUC: 55.9 -> 48.9Hurt
Replace pixel-wise correlation with depth-wise correlation (ablation)SiamRPNpp+AR · LaSOT testAUC: 55.9 -> 54.8Hurt
Replace pixel-wise correlation with naive correlation (ablation)SiamRPNpp+AR · LaSOT testAUC: 55.9 -> 53.1Hurt
Replace ResNet-34 with ResNet-50 (ablation)SiamRPNpp+AR · LaSOT testAUC: 55.9 -> 56.2Helped

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