CODA optimizes continuous-density meta-optics via adjoint gradients on Maxwell simulations to boost frozen CLIP zero-shot accuracy on ImageNet-100 from 53.75% to 65.41%, with transfer to other models.
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VLM-Aware Meta-Optic Front-End Design for Frozen Vision-Language Models
CODA optimizes continuous-density meta-optics via adjoint gradients on Maxwell simulations to boost frozen CLIP zero-shot accuracy on ImageNet-100 from 53.75% to 65.41%, with transfer to other models.