Methods › Computer Vision › Convolutions › Transposed convolution

Transposed convolution

29 papers tagged archive 2025-07-28

Introduced by Evan Shelhamer et al. in Fully Convolutional Networks for Semantic Segmentation

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

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

29 shown of 29, 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 48 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
Semantic Segmentation7
Instance Segmentation4
Segmentation4
Decoder3
Super-Resolution3
Computational Efficiency2
Generative Adversarial Network2
Image Reconstruction2
Image Segmentation2
Image Super-Resolution2
Object Detection2
Representation Learning2
Texture Synthesis2
object-detection2
2D Human Pose Estimation1
All1
Attribute1
COVID-19 Diagnosis1
Clustering1
Deep Learning1

Usage over time archive 2025-07-28

Papers per year tagged with Transposed convolution: 2016 to 2025, peak 7 7 0 2016: 1 paper 2016 2017: 1 paper 2017 2018: 1 paper 2018 2019: 6 papers 2019 2020: 5 papers 2020 2021: 4 papers 2021 2022: 7 papers 2022 2023: 1 paper 2023 2024: 2 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (29 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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