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Ranking-Based Siamese Visual Tracking

CVPR 2022 · Label-efficient and robust learning › Recognition and long-tail · approach: Loss design and classifier theory · 91 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add classification ranking loss (ablation)SiamRPN++ and SiamBAN · Combined TC128, NFS30, UAV123AUC: 57.93 -> 60.63; 59.61 -> 61.15Helped
Add the proposed IoU-guided ranking loss to classification ranking (ablation)SiamRPN++ and SiamBAN · Combined TC128, NFS30, UAV123AUC: 60.63 -> 62.08; 61.15 -> 62.24Helped
Use the original IoU-guided ranking loss rather than the modified IGR (ablation)SiamRPN++ and SiamBAN with CR · Combined TC128, NFS30, UAV123AUC: 60.63 -> 60.87 vs 62.08; 61.15 -> 60.92 vs 62.24Hurt
Replace hard-negative mining with cross-entropy plus classification ranking loss (ablation)Siamese tracker classification · Confidence-map analysisdistractor suppressionHelped
Add RBO to SiamRPN++SiamRPN++ · TC128AUC: 57.3 -> 61.9Helped
Add RBO to Siamese trackersSiamRPN++ and SiamBAN · VOT2016EAO: absolute gain of 4.9%Helped
Add RBO to Siamese trackersSiamRPN++ and SiamBAN · LaSOT testAUC: 3.6%; 1.1%Helped
Add RBO to SiamRPN++SiamRPN++ · GOT-10k testAO: 8.5%Helped
Add RBO to TransTTransT · LaSOT, GOT-10k, UAV123benchmark performance: 64.9 -> 65.6 AUC; 72.3 -> 72.7 AO; 67.9 -> 68.5 AUCHelped
Replace depth-wise correlation with pixel-wise correlation (ablation)SiamBAN-RBO · GOT-10k testAO: 60.8 -> 64.4Helped
Use RBO with Siamese trackersSiamRPN++-RBO, SiamBAN-RBO, SiamPW-RBO · OTB100AUC: 69.6 -> 69.9; 69.6 -> 70.1; 69.8Mixed

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