CheXWorld pre-trains a chest X-ray ViT with three world-modeling tasks (local anatomy, global layout, domain variation) and reports state-of-the-art transfer on eight benchmarks.
Representing part-whole hierarchies in foundation models by learning localizability, composability, and decomposability from anatomy via self-supervision
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CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CheXWorld pre-trains a chest X-ray ViT with three world-modeling tasks (local anatomy, global layout, domain variation) and reports state-of-the-art transfer on eight benchmarks.