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Rgb-T Tracking

RGBT tracking, or RGB-Thermal tracking, is a sophisticated method utilized in computer vision for tracking objects across both RGB and thermal infrared modalities. This technique combines information from both RGB and thermal imagery to enhance object detection and tracking performance, particularly in challenging environments where lighting conditions may vary or be limited. By integrating data from these two modalities, RGBT tracking systems can effectively compensate for the limitations of each individual modality, such as the inability of RGB cameras to capture clear images in low-light or adverse weather conditions, and the inability of thermal cameras to accurately identify object details. RGBT tracking algorithms typically involve sophisticated fusion techniques to combine information from RGB and thermal sensors, enabling robust and accurate object tracking in diverse scenarios ranging from surveillance and security applications to autonomous vehicles and search and rescue operations.

Papers

Showing 2650 of 55 papers

TitleStatusHype
Generative-based Fusion Mechanism for Multi-Modal TrackingCode1
RGB-T Tracking via Multi-Modal Mutual Prompt LearningCode1
Unified Single-Stage Transformer Network for Efficient RGB-T TrackingCode1
EANet: Enhanced Attribute-based RGBT Tracker Network0
Unified Sequence-to-Sequence Learning for Single- and Multi-Modal Visual Object TrackingCode1
RGB-T Tracking Based on Mixed Attention0
Visual Prompt Multi-Modal TrackingCode2
Self-Supervised RGB-T Tracking with Cross-Input Consistency0
Bridging Search Region Interaction With Template for RGB-T TrackingCode1
Efficient RGB-T Tracking via Cross-Modality Distillation0
Prompting for Multi-Modal Tracking0
0/1 Deep Neural Networks via Block Coordinate Descent0
Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New BaselineCode1
Attribute-Based Progressive Fusion Network for RGBT TrackingCode1
Dynamic Fusion Network for RGBT Tracking0
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T TrackingCode1
LasHeR: A Large-scale High-diversity Benchmark for RGBT TrackingCode1
Siamese Infrared and Visible Light Fusion Network for RGB-T Tracking0
Multi-modal Visual Tracking: Review and Experimental ComparisonCode1
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss0
Duality-Gated Mutual Condition Network for RGBT Tracking0
MIRNet: Learning multiple identities representations in overlapped speech0
Challenge-Aware RGBT Tracking0
Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking0
Cross-Modal Pattern-Propagation for RGB-T Tracking0
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