Surgical-DINO: adapter learning of foundation models for depth estimation in endoscopic surgery

ConclusionSurgical-DINO shed some light on the successful adaptation of the foundation models into the surgical domain for depth estimation. There is clear evidence in the results that zero-shot prediction on pre-trained weights in computer vision datasets or naive fine-tuning is not sufficient to use the foundation model in the surgical domain directly.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research