Rgb T Tracking On Lasher

평가 지표

Precision

Success

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Precision	Success	Paper Title	Repository
STMT	67.4	53.7	Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens	-
SeqTrackv2-L256	74.1	58.8	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
CAFormer	70.0	55.6	Cross-modulated Attention Transformer for RGBT Tracking	-
SDSTrack	66.5	53.1	SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
MMMP	71.4	56.7	From Two-Stream to One-Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation	-
CAT	45.0	31.4	Challenge-Aware RGBT Tracking	-
OneTracker	67.2	53.8	OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning	-
SeqTrackv2-B256	70.4	55.8	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
ProTrack	50.9	42.1	Prompting for Multi-Modal Tracking	-
PromptTrack	76.2	60.7	-	-
SUTrack-L384	76.9	61.9	SUTrack: Towards Simple and Unified Single Object Tracking
SeqTrackv2-L384	76.7	61.0	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
MPLT	72.0	57.1	RGB-T Tracking via Multi-Modal Mutual Prompt Learning
TBSI	70.2	56.5	Bridging Search Region Interaction With Template for RGB-T Tracking
MANet++	46.7	31.4	RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss	-
GMMT	70.7	56.6	Generative-based Fusion Mechanism for Multi-Modal Tracking
SeqTrackv2-B384	71.5	56.2	Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
BAT	70.2	56.3	Bi-directional Adapter for Multi-modal Tracking
Un-Track	66.7	53.6	Single-Model and Any-Modality for Video Object Tracking
MambaVT-M256	72.7	57.5	MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking	-

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