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08/09/2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Surgical instrument segmentation is recognised as a key enabler to provi...
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06/15/2023
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
In this paper, we propose a novel text promptable surgical instrument se...
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02/01/2023
Learning from Stochastic Labels
Annotating multi-class instances is a crucial task in the field of machi...
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10/14/2022
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans
Tumor lesion segmentation is one of the most important tasks in medical ...
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09/28/2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Complementary-label learning (CLL) is a common application in the scenar...
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03/08/2022
Counting with Adaptive Auxiliary Learning
This paper proposes an adaptive auxiliary task learning based approach f...
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12/10/2021
Rethinking the Two-Stage Framework for Grounded Situation Recognition
Grounded Situation Recognition (GSR), i.e., recognizing the salient acti...
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08/03/2021
Vision Transformer with Progressive Sampling
Transformers with powerful global relation modeling abilities have been ...
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08/12/2020
HOSE-Net: Higher Order Structure Embedded Network for Scene Graph Generation
Scene graph generation aims to produce structured representations for im...
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10/17/2018