Rgb T Tracking On Rgbt234

Metrics

Precision

Success

Results

Performance results of various models on this benchmark

			Paper Title	Repository
SUTrack	93.7	70.3	SUTrack: Towards Simple and Unified Single Object Tracking
SeqTrackv2-L256	92.3	68.5	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
PromptTrack	91.7	67.2	-	-
SeqTrackv2-L384	91.3	68.0	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
MambaVT-M256	90.7	67.5	MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking
APTrack	90.6	67.2	Adaptive Perception for Unified Visual Multi-modal Object Tracking	-
AFter	90.1	66.7	AFter: Attention-based Fusion Router for RGBT Tracking
SeqTrackv2-B384	90.0	66.3	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
CKD	90.0	67.4	Breaking Modality Gap in RGBT Tracking: Coupled Knowledge Distillation
CFBT	89.9	65.9	Cross Fusion RGB-T Tracking with Bi-directional Adapter	-
STTrack	89.8	66.7	Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
MambaVT-S256	88.9	65.8	MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking
CSTNet	88.4	65.2	Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion
MPLT	88.4	65.7	RGB-T Tracking via Multi-Modal Mutual Prompt Learning
CAFormer	88.3	66.4	Cross-modulated Attention Transformer for RGBT Tracking	-
MoETrack	88.1	65.1	Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Solution
SeqTrackv2-B256	88.0	64.7	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
GMMT	87.9	64.7	Generative-based Fusion Mechanism for Multi-Modal Tracking
USTrack	87.4	65.8	Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
MMMP	87.3	65.1	From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation	-

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Rgb T Tracking On Rgbt234

Metrics

Results