SMoEStereo uses a selective mixture-of-experts with adaptive LoRA ranks and adapter kernels to fine-tune frozen vision foundation models for robust cross-domain stereo matching.
Pseudo-label: The simple and effi- cient semi-supervised learning method for deep neural net- works
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Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
SMoEStereo uses a selective mixture-of-experts with adaptive LoRA ranks and adapter kernels to fine-tune frozen vision foundation models for robust cross-domain stereo matching.