Task-optimal learning of 2x2 CFA weights in a differentiable RAW-to-task pipeline yields mIoU gains of +0.017 on KITTI-360 and +0.023 on ACDC for autonomous driving segmentation, with PSF co-design net-negative and larger tiles detrimental.
arXiv preprint arXiv:2508.19905 (2025) 2, 6, 8, 13
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Beyond Bayer: Task-Optimal Sensor Co-Design for Robust Autonomous-Driving Segmentation
Task-optimal learning of 2x2 CFA weights in a differentiable RAW-to-task pipeline yields mIoU gains of +0.017 on KITTI-360 and +0.023 on ACDC for autonomous driving segmentation, with PSF co-design net-negative and larger tiles detrimental.