Search Results for author: Andrew D. Trister

Found 1 papers, 1 papers with code

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

1 code implementation CVPR 2022 Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood

Vision Transformers (ViTs) and their multi-scale and hierarchical variations have been successful at capturing image representations but their use has been generally studied for low-resolution images (e. g. - 256x256, 384384).

Self-Supervised Learning Survival Prediction

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