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In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking
Deep learning-based methods monopolize the latest research in the field of thermal infrared (TIR) object tracking.
Searching a Lightweight Network Architecture for Thermal Infrared Pedestrian Tracking
To expedite the search process, a random channel selection strategy is employed prior to assessing operation candidates.
Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learning
Designing distributed filtering circuits (DFCs) is complex and time-consuming, with the circuit performance relying heavily on the expertise and experience of electronics engineers.
YOLO-TLA: An Efficient and Lightweight Small Object Detection Model based on YOLOv5
Additionally, we have incorporated a global attention mechanism into the backbone network.
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