Superpixel Segmentation Using Dynamic and Iterative Spanning Forest

Author:

Belem Felipe C.ORCID,Guimaraes Silvio Jamil F.ORCID,Falcao Alexandre X.ORCID

Funder

Conselho Nacional de Desenvolvimento Cientefico e Tecnologico

Fundacao de Amparo a Pesquisa do Estado de Minas Gerais

Coordenacao de Aperfeiaoamento de Pessoal de Nivel Superior

Fundacao de Amparo a Pesquisa do Estado de Sao Paulo

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hierarchical Graph Neural Networks with Scale-Aware Readout for Image Classification;International Journal of Semantic Computing;2024-08-17

2. A Comprehensive Review and New Taxonomy on Superpixel Segmentation;ACM Computing Surveys;2024-04-10

3. Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images;2023 31st Irish Conference on Artificial Intelligence and Cognitive Science (AICS);2023-12-07

4. Graph-Based Feature Learning from Image Markers;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27

5. Streaming Graph-Based Supervoxel Computation Based on Dynamic Iterative Spanning Forest;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27

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