Fine-tuning a CLIP image encoder with learned prompts improves surgical phase recognition by 1 to 4 accuracy points on three datasets, though the comparison baseline does not control for CLIP pretraining.
In: Medical Image Computing and Compu ter Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8
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ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model
Fine-tuning a CLIP image encoder with learned prompts improves surgical phase recognition by 1 to 4 accuracy points on three datasets, though the comparison baseline does not control for CLIP pretraining.