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05/19/2023
Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery
Despite the availability of computer-aided simulators and recorded video...
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04/19/2023
SurgicalGPT: End-to-End Language-Vision GPT for Visual Question Answering in Surgery
Advances in GPT-based large language models (LLMs) are revolutionizing n...
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02/02/2023
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation
Purpose: In curriculum learning, the idea is to train on easier samples ...
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11/28/2022
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene Understanding
Purpose: Surgery scene understanding with tool-tissue interaction recogn...
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06/22/2022
Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
Visual question answering (VQA) in surgery is largely unexplored. Expert...
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04/10/2022
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Context-aware decision support in the operating room can foster surgical...
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01/28/2022
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding
Global and local relational reasoning enable scene understanding models ...
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09/11/2021
Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition
Despite impressive accuracy, deep neural networks are often miscalibrate...
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07/07/2020
