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DART: Depth-as-Target Pretraining for Surgical Vision Foundation Models

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.04555v1 Announce Type: new Abstract: Vision foundation models (VFMs) are valuable in data-scarce domains such as surgery, where a single pretrained backbone can provide rich representations for many downstream tasks. Yet the dominant self-supervised pretraining paradigm uses only RGB ima…

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  1. 2026-09-07 04:00 · arXiv cs.CV
    DART: Depth-as-Target Pretraining for Surgical Vision Foundation Models

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