HIGHLIGHTS
- who: Sanat Ramesh from the Altair Robotics Lab, University of Verona, Verona, Italy have published the article: TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos, in the Journal: (JOURNAL)
- what: Methods This work proposes a new simplified augmentation method called TRandAugment specifically designed for long surgical videos that treats each video as an assemble of temporal segments and applies consistent but random transformations to each segment. The paper introduces a new simplified and automated data augmentation method, called TRandAugment, that aims to incorporate the essential temporal dimension.
- how: This paper . . .
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