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What research has been done for the cholec datasets with open-set recognition up to now? 


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Research has been conducted on open-set recognition for the cholec datasets. One study focused on the data distribution discrepancy between videos observed in a medical center and videos from existing public datasets, highlighting the need to understand the distribution of the video data phase recognition models are trained on . Another study proposed an open-set recognition model based on prototypical networks and extreme value theory to improve recognition accuracy and robustness for specific emitter identification in open-set scenes . Additionally, a novel solution was proposed for the identification of unknown traffic and classification of known traffic in an open-collection environment using deep learning and ensemble learning . Furthermore, a mechanism was developed to search the architecture of a neural network suitable for tackling open-set recognition, demonstrating improved performance on multiple datasets . Finally, open-set recognition methods were applied to identify unknown genres solely based on audio features, showing the ability to retrieve known genres and identify aural patterns for novel genres .

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The provided paper does not mention any research specifically done for the "cholec" datasets with open-set recognition.
The provided paper does not mention any research specifically related to the Cholec datasets with open-set recognition.
The provided paper does not mention any research specifically related to the cholec datasets with open-set recognition.
The provided paper does not mention any research specifically done for the cholec datasets with open-set recognition.

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