HyperAI超神经

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HyperAI超神经

Object Tracking On Coesot

评估指标

Precision Rate

Success Rate

评测结果

各个模型在此基准测试上的表现结果

模型名称	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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