Jiangyun Li — accepted AI-conference papers

2024

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

Jing Wang, Jiangyun Li, Chen Chen, Yisi Zhang, Haoran Shen, Tianxiang Zhang

AAAI 2024technical

The Few-Shot Segmentation (FSS) aims to accomplish the novel class segmentation task with a few annotated images. Current FSS research based on meta-learning focuses on designing a complex interaction mechanism between the query and support feature. However, unlike humans who can rapidly learn new t…

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2022

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation

Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li

ECCV 2022poster

"For 3D medical image (e.g. CT and MRI) segmentation, the difficulty of segmenting each slice in a clinical case varies greatly. Previous research on volumetric medical image segmentation in a slice-by-slice manner conventionally use the identical 2D deep neural network to segment all the slices of…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗