Methods › Computer Vision › Convolutions › Groupwise Point Convolution

Groupwise Point Convolution

53 papers tagged archive 2025-07-28

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

A Groupwise Point Convolution is a type of convolution where we apply a point convolution groupwise (using different set of convolution filter groups).

Image Credit: Chi-Feng Wang

Source: ESPNetv2: A Light-weight, Power Efficient, and General...See Code · sacmehta/ESPNetv2

Papers archive 2025-07-28

30 shown of 53, 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 62 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
Image Classification7
Semantic Segmentation6
image-classification6
Deep Learning5
Object Detection5
object-detection5
General Classification4
Model Compression4
Transfer Learning4
Diagnostic3
Neural Architecture Search3
Real-Time Semantic Segmentation3
All2
Computational Efficiency2
Efficient Neural Network2
GPU2
Network Pruning2
Neural Network Compression2
Object2
Quantization2

Usage over time archive 2025-07-28

Papers per year tagged with Groupwise Point Convolution: 2018 to 2025, peak 11 11 0 2018: 4 papers 2018 2019: 9 papers 2019 2020: 11 papers 2020 2021: 11 papers 2021 2022: 7 papers 2022 2023: 8 papers 2023 2024: 2 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (53 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

Convolutions

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