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Persistent URL	http://purl.org/net/epubs/work/59131942
Record Status	Checked
Record Id	59131942
Title	Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering
Contributors	K Leng (STFC Rutherford Appleton Lab.), R Atwood, W Kockelmann (STFC Rutherford Appleton Lab.,), D Chekrygina (STFC Rutherford Appleton Lab.), J Thiyagalingam (STFC Rutherford Appleton Lab.)
Abstract
Organisation	ISIS , ISIS-GEN , STFC
Keywords	fully-convolutional autoencoder , unsupervised semantic segmentation , representation learning , adjacency-based loss , 3D image analysis , normalised cut , sparse graph , few-shot learning
Funding Information
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Licence Information:	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Language	English (EN)

Type	Details	URI(s)	Local file(s)	Year
Paper In Conference Proceedings	In Proceedings of the 19th International Conference on Computer Vision Theory and Applications, Rome, Italy, 27-29 Feb 2024, (2024): 575-586.	doi:10.5220/0012380700003660		2024

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