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:2305.17185 (2023) 1, 6, 8, 12
2 Pith papers cite this work. Polarity classification is still indexing.
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A plug-and-play differentiable model bridging ray and wave optics for hybrid systems that enables end-to-end optimization of planar and conformal diffractive elements.
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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.
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A General Differentiable Ray-Wave Framework for Hybrid Refractive-Diffractive System Modeling and Optimization
A plug-and-play differentiable model bridging ray and wave optics for hybrid systems that enables end-to-end optimization of planar and conformal diffractive elements.