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Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism

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Published in:IET Computer Vision
Format: Online Article RSS Article
Published: 2026
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container_title IET Computer Vision
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet IET Computer Vision
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism
Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
subject_facet Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
title Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism
title_auth Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism
title_full Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism
title_fullStr Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism
title_full_unstemmed Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism
title_short Improvement of Panoptic Segmentation Model Based on Path Aggregation Feature Pyramid Network and Attention Mechanism
title_sort improvement of panoptic segmentation model based on path aggregation feature pyramid network and attention mechanism
topic Image and Video Processing
Technology & Engineering — Computing
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.70068?af=R