Search Results for author: Bingkun Nian

Found 2 papers, 2 papers with code

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution

1 code implementation • 4 Dec 2023 • Bingkun Nian, Fenghe Tang, Jianrui Ding, Pingping Zhang, Jie Yang, S. Kevin Zhou, Wei Liu

In this paper, we present a high-performance deep neural network for weak target image segmentation, including medical image segmentation and infrared image segmentation.

Image Segmentation Medical Image Segmentation +2

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Code

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

1 code implementation • 4 Dec 2023 • Fenghe Tang, Bingkun Nian, Jianrui Ding, Quan Quan, Jie Yang, Wei Liu, S. Kevin Zhou

This work revisits the relationship between CNNs and Transformers in lightweight universal networks for medical image segmentation, aiming to integrate the advantages of both worlds at the infrastructure design level.

Image Segmentation Inductive Bias +3

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Code

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