Methods › Computer Vision › Convolutional Neural Networks › PolyConv

Polynomial Convolution

PolyConv

2 papers tagged archive 2025-07-28

Introduced by Mohsen Yavartanoo et al. in PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation

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

PolyConv learns continuous distributions as the convolutional filters to share the weights across different vertices of graphs or points of point clouds.

PaperSourceSee Code · myavartanoo/PolyNet_PyTorch

Papers archive 2025-07-28

2 shown of 2, 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

7 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
3D Object Classification1
3D Point Cloud Classification1
3D Shape Classification1
3D Shape Recognition1
3D Shape Representation1
Malware Detection1
Retrieval1

Usage over time archive 2025-07-28

Papers per year tagged with PolyConv: 2021 to 2024, peak 1 1 0 2021: 1 paper 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (2 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

Convolutional Neural Networks

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