Methods › Computer Vision › Convolutions › 1x1 Convolution

1x1 Convolution

5,640 papers tagged archive 2025-07-28

Introduced by Min Lin et al. in Network In Network

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

A 1 x 1 Convolution is a convolution with some special properties in that it can be used for dimensionality reduction, efficient low dimensional embeddings, and applying non-linearity after convolutions. It maps an input pixel with all its channels to an output pixel which can be squeezed to a desired output depth. It can be viewed as an MLP looking at a particular pixel location.

Image Credit: http://deeplearning.ai

PaperSource

Papers archive 2025-07-28

30 shown of 5,640, 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 1,268 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
Object Detection861
object-detection784
Image Classification681
image-classification516
Semantic Segmentation505
Object433
Transfer Learning383
General Classification373
Classification347
Segmentation328
Data Augmentation224
Deep Learning224
GPU201
Quantization180
Instance Segmentation161
Representation Learning154
Self-Supervised Learning154
Neural Architecture Search142
Contrastive Learning137
Decoder125

Usage over time archive 2025-07-28

Papers per year tagged with 1x1 Convolution: 2013 to 2025, peak 969 969 0 2013: 1 paper 2013 2014: 6 papers 2014 2015: 33 papers 2015 2016: 100 papers 2016 2017: 219 papers 2017 2018: 431 papers 2018 2019: 683 papers 2019 2020: 912 papers 2020 2021: 969 papers 2021 2022: 796 papers 2022 2023: 759 papers 2023 2024: 534 papers 2024 2025: 197 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (5,640 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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