AI RESEARCH
POS-ISP: Pipeline Optimization at the Sequence Level for Task-aware ISP
arXiv CS.CV
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ArXi:2604.06938v1 Announce Type: new Recent work has explored optimizing image signal processing (ISP) pipelines for various tasks by composing predefined modules and adapting them to task-specific objectives. However, jointly optimizing module sequences and parameters remains challenging. Existing approaches rely on neural architecture search (NAS) or step-wise reinforcement learning (RL), but NAS suffers from a