SPMUNet: Semantic segmentation of citrus surface defects driven by superpixel feature

Author:

Xu Xufeng,Xu Tao,Li Zetong,Huang Xinyao,Zhu Yihang,Rao Xiuqin

Publisher

Elsevier BV

Reference35 articles.

1. Swin-unet: Unet-like pure transformer for medical image segmentation;Cao,2022

2. Res2-UNeXt: a novel deep learning framework for few-shot cell image segmentation;Chan;Multimed. Tools Appl.,2022

3. A deep learning-based vision system combining detection and tracking for fast on-line citrus sorting;Chen;Front. Plant Sci.,2021

4. Chen, L.C., Zhu, Y., Papandreou G, et al. 2018. Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European conference on computer vision (ECCV). 801-818.

5. Chen, J., Lu, Y., Yu, Q, et al. 2021. Transunet: transformers make strong encoders for medical image segmentation. arXiv preprint arXiv:2102.04306.

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