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domain-adaptation-in-mtl

Domain adaptation in surgical scene understanding. A MTL model for scene graph and scene captioning. Offical implementation of "Task-Aware Asynchronous MTL with Class Incremental Contrastive Learning for Surgical Scene Understanding", IJCARs 2022.

domain-generalization-for-surgical-scene-graph

Domain Generalization in surgical scene graph.

global-reasoned-multi-task-model

Globally reasoned multi-task model for surgical scene understanding. A multi-task model for segmentation and scene graph. Offical Implementation of "Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding", ICRA 2022 & RA-L.

glore

Global Reasoning module for visual recognition

gradcamdownstreamtask

End-to-end surgical scene understanding models using gradient-based localization. Official implementation of "Rethinking Feature Extraction: Gradient-based Localized Feature Extraction for End-to-End Surgical Downstream Tasks", RAL 2022.

ilars

Interactive Learning Assistant for Robotic Surgery

lalithjets

lalithjets.github.io

p-cd

resume

simcol3d_challenge_2022

surgical-vqla

ICRA 2023

surgical_scenegraph_generation

MICCAI 2020

surgical_vqa

Surgical Visual Question Answering. A transformer-based surgical VQA model. Offical Implementation of "Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformers", MICCAI 2022.

surgicalgpt

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.