Aug 1, 2022 · We introduce a novel reinforcement learning formulation for offline phase transition retrieval. Instead of attempting to classify every video ...
Sep 17, 2022 · We introduce a novel reinforcement learning formulation for offline phase transition retrieval. Instead of attempting to classify every video frame, we ...
– We propose Transition Retrieval Network (TRN) that actively searches for phase transitions using multi-agent reinforcement learning. We describe a range of ...
This paper proposes a novel framework of using reinforcement learning for identifying transitions between phases, for the task of surgical workflow/phase ...
We introduce a novel reinforcement learning formulation for offline phase transition retrieval. Instead of attempting to classify every video frame, we identify ...
A novel reinforcement learning formulation for offline phase transition retrieval that identifies the timestamp of each phase transition by construction, ...
The conventional approach to surgical workflow segmentation is to determine the surgical phase of each individual frame in a video recording of the operation, ...
Aug 1, 2022 · – We propose Transition Retrieval Network (TRN) that actively searches for phase transitions using multi-agent reinforcement learning. We ...
Retrieval of surgical phase transitions using reinforcement learning ... In minimally invasive surgery, surgical workflow segmentation from video analysis is a ...
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