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loss functions 1real-time inference 1stereo depth estimation 1transformer efficiency 1walsh-hadamard mixing 1

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1 paper

cs.CV2026

WHTMix: Efficient Stereo Depth Estimation via Walsh-Hadamard Token Mixing

Prathyush Sajith, Emadeldeen Hamdan, Ahmet Enis Cetin

The paper proposes replacing the global self‑attention stage in stereo transformer models with a data‑independent Walsh‑Hadamard token mixer, achieving similar depth accuracy while…