Search Results for author: Chwee Ming Lim

Found 3 papers, 3 papers with code

Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding

1 code implementation28 Nov 2022 Lalithkumar Seenivasan, Mobarakol Islam, Mengya Xu, Chwee Ming Lim, Hongliang Ren

Conclusion: The proposed multi-task model was able to adapt to domain shifts, incorporate novel instruments in the target domain, and perform tool-tissue interaction detection and report generation on par with single-task models.

Contrastive Learning Decision Making +4

ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgery

1 code implementation10 Dec 2021 Mobarakol Islam, Vibashan VS, Chwee Ming Lim, Hongliang Ren

We generate the task-aware saliency maps and scanpath of the instruments on the dataset of the MICCAI 2017 robotic instrument segmentation challenge.

Computational Efficiency Multi-Task Learning +3

Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation

1 code implementation23 Jul 2021 Mengya Xu, Mobarakol Islam, Chwee Ming Lim, Hongliang Ren

To adapt incremental classes and extract domain invariant features, a class-incremental (CI) learning method with supervised contrastive (SupCon) loss is incorporated with a feature extractor.

Domain Adaptation Few-Shot Learning +1

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