Search Results for author: Manish Sahu

Found 4 papers, 1 papers with code

Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation

no code implementations2 Mar 2021 Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow

Conclusion: We show that our proposed approach can successfully exploit the unlabeled real endoscopic video frames and improve generalization performance over pure simulation-based training and the previous state-of-the-art.

Scene Understanding Unsupervised Domain Adaptation

Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation

no code implementations22 Jul 2020 Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow

Surgical tool segmentation in endoscopic videos is an important component of computer assisted interventions systems.

Domain Adaptation

Tool and Phase recognition using contextual CNN features

no code implementations27 Oct 2016 Manish Sahu, Anirban Mukhopadhyay, Angelika Szengel, Stefan Zachow

A transfer learning method for generating features suitable for surgical tools and phase recognition from the ImageNet classification features [1] is proposed here.

Classification General Classification +3

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