AI RESEARCH
RPCASSM: Robust PCA State Space Model For Infrared Small Target Detection
arXiv CS.AI
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ArXi:2606.01689v1 Announce Type: cross The detection and segmentation of infrared small targets have important application significance in the fields of surveillance and security, maritime rescue and so on. Due to the low occupancy of these targets in long-distance imaging, the mainstream visual state space model is inefficient and difficult to accurately model the target edge. The existing infrared state space models do not deviate from the mainstream visual state space structure framework from the structural properties of infrared small targets.