From superpixels to foundational models: An overview of unsupervised and generalizable image segmentation

Author:

Rodrigues Cristiano N.ORCID,Nunes Ian M.,Pereira Matheus B.,Oliveira Hugo,dos Santos Jefersson A.

Funder

Serrapilheira Institute

FAPEMIG

CAPES

CNPq

Publisher

Elsevier BV

Reference210 articles.

1. Review the state-of-the-art technologies of semantic segmentation based on deep learning;Mo;Neurocomputing,2022

2. Fisheyepixpro: Self-supervised pretraining using fisheye images for semantic segmentation;Cheke,2022

3. Segcontrast: 3D point cloud feature representation learning through self-supervised segment discrimination;Nunes;IEEE Robot Autom Lett,2022

4. Hierarchical self-supervised learning for 3D tooth segmentation in intra-oral mesh scans;Liu;IEEE Trans Med Imaging,2023

5. Ideal: Improved dense local contrastive learning for semi-supervised medical image segmentation;Basak,2023

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1. Editorial Note Computers & Graphics Issue 123;Computers & Graphics;2024-10

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