Bounding Box-Free Instance Segmentation Using Semi-Supervised Iterative Learning for Vehicle Detection

Author:

de Carvalho Osmar Luiz Ferreira1ORCID,Junior Osmar Abilio de Carvalho2ORCID,de Albuquerque Anesmar Olino2ORCID,Santana Nickolas Castro2ORCID,Guimaraes Renato Fontes2ORCID,Gomes Roberto Arnaldo Trancoso2ORCID,Borges Dibio Leandro1ORCID

Affiliation:

1. Department of Computer Science, University of Brasília, Brasília, Brazil

2. Department of Geography, University of Brasília, Brasília, Brazil

Funder

Conselho Nacional de Desenvolvimento Cientfico e Tecnolgico

Coordenao de Aperfeioamento de Pessoal de Nvel Superior

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

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2. Quad Gaussian Networks for Vehicle Detection in Aerial Images;Sensors;2024-08-30

3. Sparse Point Annotations and Iterative Active Learning for Vehicle Detection;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. A Domain Generalized Mask R-CNN for Building Instance Segmentation;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

5. Detection of karst depression in Brazil comparing different semantic and instance segmentations and global digital elevation models;Geomorphology;2024-07

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