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Object Tracking On Coesot

Metrics

Precision Rate

Success Rate

Results

Performance results of various models on this benchmark

Model Name	Precision Rate	Success Rate	Paper Title	Repository
AiATrack	67.4	59.0	AiATrack: Attention in Attention for Transformer Visual Tracking
KeepTrack	66.1	59.6	Learning Target Candidate Association to Keep Track of What Not to Track
HR-CEUTrack-Base	71.9	63.2	Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
SuperDiMP	67.0	60.2	-	-
HR-CEUTrack-Large	73.8	65.0	Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
KYS	66.7	58.6	Know Your Surroundings: Exploiting Scene Information for Object Tracking
CEUTrack-Base	70.5	62.0	Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
SiamR-CNN	67.5	60.9	Siam R-CNN: Visual Tracking by Re-Detection	-
TransT	67.9	60.5	Transformer Tracking
CEUTrack-Large	71.4	62.8	Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
OSTrack	66.6	59.0	Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
TrDiMP	66.9	60.1	Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

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