Against spatial-temporal discrepancy: contrastive learning-based network for surgical workflow recognition.
Tong XiaFucang JiaPublished in: International journal of computer assisted radiology and surgery (2021)
The proposed convolutional recurrent network based on step-phase prediction and contrastive learning can leverage fine-grained characteristics and alleviate spatial-temporal discrepancies to improve the performance of surgical workflow recognition.