How Transformers Finally Ate Vision – Isaac Robinson, Roboflow https://video.ut0pia.org/videos/watch/f0f4136f-aa9b-41bf-aa5b-dea8c0d72f99 Vision used to belong to CNNs. This talk explains why that changed, and why transformers only recently started winning for vision despite looking like the less natural fit for images. The answer runs through pretraining, scaling, borrowed infrastructure from the LLM world, and the long arc back to the simple architecture that scales best. Using the evolution from ViT and Swin through ConvNeXt, Hiera, SAM, and RF-DETR, Isaac Robinson walks through what actually made transformer vision systems practical, where the tradeoffs still are, and why deployment flexibility now matters as much as raw benchmark wins. What comes next for VLMs, world models, and physical AI? Speaker info: https://www.linkedin.com/in/robinsonish/ Sat, 09 May 2026 17:31:38 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org How Transformers Finally Ate Vision – Isaac Robinson, Roboflow https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/f0f4136f-aa9b-41bf-aa5b-dea8c0d72f99 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.