Webinar: Are Visual Foundation Models (VFMs) on par with SOTA?

Encord's President and Co-Founder, Ulrik, and Lead Machine Learning Engineer, Frederik, delve into Meta's new Visual Foundation Model, Segment Anything Model (SAM), highlighting its potential impact on segmentation tasks when paired with Grounding-DINO for zero-shot segmentation. They evaluate SAM's performance against the state-of-the-art Mask-RCNN model, providing insights into the rise of Visual Foundation Models and their distinctions from standard models. The discussion also touches on the implications of Meta's release of DINOv2 for the Grounding-DINO and SAM integration, as well as methodologies for assessing model performance using Encord Active. Both Ulrik and Frederik bring a wealth of experience in computer science and machine learning, with Ulrik having a background in software application development and Frederik holding a Ph.D. in Explainable Deep Learning.

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