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SOTA
Rgb T Tracking
Rgb T Tracking On Rgbt234
Rgb T Tracking On Rgbt234
評価指標
Precision
Success
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Precision
Success
Paper Title
Repository
MFGNet
77.2
51.3
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
ProTrack
78.6
58.7
Prompting for Multi-Modal Tracking
-
SeqTrackv2-L256
92.3
68.5
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
SeqTrackv2-B384
90.0
66.3
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
TATrack
87.2
64.4
Temporal Adaptive RGBT Tracking with Modality Prompt
-
CSTNet
88.4
65.2
Transformer-based RGB-T Tracking with Channel and Spatial Feature Fusion
DMCNet
83.9
59.3
Duality-Gated Mutual Condition Network for RGBT Tracking
-
APTrack
90.6
67.2
Adaptive Perception for Unified Visual Multi-modal Object Tracking
-
SeqTrackv2-L384
91.3
68.0
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
MambaVT-S256
88.9
65.8
MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking
-
STTrack
89.8
66.7
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
-
JMMAC
79.0
57.3
Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking
-
TBSI
87.1
63.7
Bridging Search Region Interaction With Template for RGB-T Tracking
USTrack
87.4
65.8
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
MPLT
88.4
65.7
RGB-T Tracking via Multi-Modal Mutual Prompt Learning
GMMT
87.9
64.7
Generative-based Fusion Mechanism for Multi-Modal Tracking
SeqTrackv2-B256
88.0
64.7
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object Tracking
CAFormer
88.3
66.4
Cross-modulated Attention Transformer for RGBT Tracking
-
DFNet
78.6
58.7
Dynamic Fusion Network for RGBT Tracking
-
MANet++
80.0
55.4
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
-
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