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Siam R-CNN: Visual Tracking by Re-Detection

CVPR 2020 · Detection and segmentation › Tracking · approach: Siamese network tracking · 27 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use video hard example mining for re-detection training (ablation)Siam R-CNN · OTB2015, LaSOT, LTB35AUC (OTB2015, LaSOT); F (LTB35): 68.4 -> 70.1; 63.2 -> 64.8; 66.5 -> 66.8Helped
Use TDPA instead of selecting the highest-scoring re-detection per frame (ablation)Siam R-CNN · OTB2015, LaSOT, LTB35AUC (OTB2015, LaSOT); F (LTB35): 63.8 -> 70.1; 62.9 -> 64.8; 65.5 -> 66.8Helped
Use TDPA instead of the short-term tracking algorithm (ablation)Siam R-CNN · OTB2015, LaSOT, LTB35AUC (OTB2015, LaSOT); F (LTB35): 67.2 -> 70.1; 55.7 -> 64.8; 57.2 -> 66.8Helped
Use a ResNet-50 rather than ResNet-101 backbone (ablation)Siam R-CNN · OTB2015, LaSOT, LTB35AUC (OTB2015, LaSOT); F (LTB35): 70.1 -> 68.0; 64.8 -> 62.3; 66.8 -> 64.4Hurt
Use a two-stage full-image re-detection tracker with TDPASiam R-CNN · NfSSuccess: 62.0 -> 63.9Helped
Use a two-stage full-image re-detection tracker with TDPASiam R-CNN · TrackingNet testSuccess: 74.0 -> 81.2Helped
Use a two-stage full-image re-detection tracker with TDPASiam R-CNN · LaSOT testSuccess rate: +8 percentage pointsHelped
Use a two-stage full-image re-detection tracker with TDPASiam R-CNN · OxUvA testMaxGM: 62.2 -> 72.3Helped
Add Box2Seg mask density filtering to rotated box estimation (ablation)Siam R-CNN short-term · VOT2018EAO: 0.409 -> 0.423Helped

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