A diffusion-based generative model with training-time masking and clinical logic constraints achieves state-of-the-art surgical phase recognition on ESD videos and a small gain on cholecystectomy videos.
Diffusing Surrogate Dreams of Video Scenes to Predict Video Memorability
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abstract
As part of the MediaEval 2022 Predicting Video Memorability task we explore the relationship between visual memorability, the visual representation that characterises it, and the underlying concept portrayed by that visual representation. We achieve state-of-the-art memorability prediction performance with a model trained and tested exclusively on surrogate dream images, elevating concepts to the status of a cornerstone memorability feature, and finding strong evidence to suggest that the intrinsic memorability of visual content can be distilled to its underlying concept or meaning irrespective of its specific visual representational.
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CPKD: Clinical Prior Knowledge-Constrained Diffusion Models for Surgical Phase Recognition in Endoscopic Submucosal Dissection
A diffusion-based generative model with training-time masking and clinical logic constraints achieves state-of-the-art surgical phase recognition on ESD videos and a small gain on cholecystectomy videos.