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Two-stage Unidirectional Fusion Network for RGBT tracking
Y Liu, Z Gao, Y Cao, D Zhou - Knowledge-Based Systems, 2025 - Elsevier
RGB and Thermal (RGBT) tracking has recently attracted significant attention for its ability to
accurately localize targets in complex scenarios. However, the creation of large-scale RGBT …
accurately localize targets in complex scenarios. However, the creation of large-scale RGBT …
PII-GCNet: Lightweight Multi-Modal CNN Network for Efficient Crowd Counting and Localization in UAV RGB-T Images.
With the increasing need for real-time crowd evaluation in military surveillance, public safety,
and event crowd management, crowd counting using unmanned aerial vehicle (UAV) …
and event crowd management, crowd counting using unmanned aerial vehicle (UAV) …
[HTML][HTML] Learning Unsupervised Cross-Domain Model for TIR Target Tracking
The limited availability of thermal infrared (TIR) training samples leads to suboptimal target
representation by convolutional feature extraction networks, which adversely impacts the …
representation by convolutional feature extraction networks, which adversely impacts the …