Methods › Computer Vision › Object Detection Models › PANet

PANet

18 papers tagged archive 2025-07-28

Introduced by Shu Liu et al. in Path Aggregation Network for Instance Segmentation

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Path Aggregation Network, or PANet, aims to boost information flow in a proposal-based instance segmentation framework. Specifically, the feature hierarchy is enhanced with accurate localization signals in lower layers by bottom-up path augmentation, which shortens the information path between lower layers and topmost feature. Additionally, adaptive feature pooling is employed, which links feature grid and all feature levels to make useful information in each feature level propagate directly to following proposal subnetworks. A complementary branch capturing different views for each proposal is created to further improve mask prediction.

PaperSourceSee Code · ShuLiu1993/PANet

Papers archive 2025-07-28

18 shown of 18, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 40 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Segmentation7
Semantic Segmentation6
Object Detection4
Instance Segmentation3
Small Object Detection2
object-detection2
Anatomy1
Attribute1
Autonomous Driving1
Crowd Counting1
Decoder1
Defect Detection1
Demosaicking1
Denoising1
Face Recognition1
Face Sketch Synthesis1
Few-Shot Semantic Segmentation1
Image Classification1
Image Dehazing1
Image Denoising1

Usage over time archive 2025-07-28

Papers per year tagged with PANet: 2018 to 2025, peak 5 5 0 2018: 1 paper 2018 2019: 3 papers 2019 2020: 1 paper 2020 2021: 4 papers 2021 2022: 0 papers 2022 2023: 3 papers 2023 2024: 5 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (18 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Object Detection ModelsInstance Segmentation Models

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