2 papers
eess.SP2025
Hybrid Liquid Neural Network-Random Finite Set Filtering for Robust Maneuvering Object Tracking
Minti Liu, Qinghua Guo, Cao Zeng +3
This work addresses the problem of tracking maneuvering objects with complex motion patterns, a task in which conventional methods often struggle due to their reliance on predefine…
cs.CV2025
IRDFusion: Iterative Relation-Map Difference guided Feature Fusion for Multispectral Object Detection
Jifeng Shen, Haibo Zhan, Xin Zuo +4
Current multispectral object detection methods often retain extraneous background or noise during feature fusion, limiting perceptual performance. To address this, we propose an in…