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Online Decision Based Visual Tracking via Reinforcement Learning

NeurIPS 2020 · Detection and segmentation › Tracking · approach: Siamese network tracking · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
switch between FCT and SiamFC with learned decision module vs FCT alone (ablation)DTNet · OTB2015AUC: 0.616 -> 0.660Helped
switch between FCT and SiamFC vs SiamFC alone (ablation)DTNet · OTB2015AUC: 0.582 -> 0.660Helped
learned HRL decision module vs manually designed rule-based switch (ablation)DTNet · OTB2015AUC: 0.544 -> 0.660Helped
learned decision module vs rule-based switch (ablation)DTNet · LaSOTAUC: 0.283 -> 0.360Helped
learned decision module vs rule-based switch (ablation)DTNet · speedfps: 19 -> 36Helped
add third tracker (ACT+FCT+SiamFC vs FCT+SiamFC) (ablation)DTNet · OTB2015AUC: 0.660 -> 0.665Helped
add third tracker (ACT+FCT+SiamFC vs FCT+SiamFC) (ablation)DTNet · speedfps: 36 -> 23Hurt
combine ATOM and SiamRPN++ with decision module (ablation)DTNet · OTB2015AUC: 0.696 -> 0.701Helped
combine ATOM and SiamRPN++ with decision module (ablation)DTNet · LaSOTAUC: 0.515 -> 0.516Helped
combine ACT and SiamFC with decision module (ablation)DTNet · VOT18EAO: 0.296 -> 0.303 vs ACTMixed

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