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Rgb T Tracking On Gtot

Metrics

Precision

Success

Results

Performance results of various models on this benchmark

Model Name	Precision	Success	Paper Title	Repository
CMD	89.2	73.4	Efficient RGB-T Tracking via Cross-Modality Distillation	-
USTrack	93.4	78.3	Unified Single-Stage Transformer Network for Efficient RGB-T Tracking	-
JMMAC	90.2	73.2	Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking	-
MoETrack	93.6	78.4	Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Solution	-
MANet++	88.2	70.7	RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss	-
MMMP	92.4	77.3	From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation	-
APFNet	90.5	73.7	Attribute-Based Progressive Fusion Network for RGBT Tracking
HMFT	91.2	74.9	Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline	-
AFter	91.6	78.5	AFter: Attention-based Fusion Router for RGBT Tracking	-
CAFormer	91.8	76.9	Cross-modulated Attention Transformer for RGBT Tracking	-
MambaVT-M256	95.2	78.6	MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking	-
CAT	88.9	71.7	Challenge-Aware RGBT Tracking	-
MambaVT-S256	94.1	75.3	MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking	-
DFNet	88.1	71.9	Dynamic Fusion Network for RGBT Tracking	-

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Rgb T Tracking On Gtot | SOTA | HyperAI