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Found 4 papers, 3 papers with code
One model to use them all: Training a segmentation model with complementary datasets
In this work, we propose a method to combine multiple partially annotated datasets, which provide complementary annotations, into one model, enabling better scene segmentation and the use of multiple readily available datasets.
Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications
This study empirically investigates unpaired image translation methods for generating suitable data in surgical applications, explicitly focusing on semantic consistency.
Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance
We propose a novel learning task for anticipation of instrument usage in laparoscopic videos that overcomes these limitations.
Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration
Using our unsupervised method as an auxiliary task for RSD training, we outperform other self-supervised methods and are comparable to the supervised state-of-the-art.
