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1803.01534.pdf
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🔗 Source: arxiv.org
📊 Size: 6.3 MB
📄 Pages: 11 pages
⬇️ Downloads: 212

Summary

Path Aggregation Network (PANet) is proposed for instance segmentation, aiming to boost information flow in proposal-based frameworks. PANet enhances the feature hierarchy with accurate localization signals from lower layers through bottom-up path augmentation and adaptive feature pooling. A complementary branch is created to capture different views for each proposal, improving mask prediction. PANet achieves state-of-the-art performance on several datasets, including COCO 2017 Challenge Instance Segmentation task and Object Detection task, without large-batch training.

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Description

Path Aggregation Network (PANet) is proposed for instance segmentation, aiming to boost information flow in proposal-based frameworks.

Technical Information

  • File Format: PDF
  • File Size: 6.3 MB
  • Pages: 11
  • Language: EN
  • Total Downloads: 212
  • Last Updated: 2 hours ago

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