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Pyramidal Residual Unit

8 papers tagged archive 2025-07-28

Introduced by Dongyoon Han et al. in Deep Pyramidal Residual Networks

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

A Pyramidal Residual Unit is a type of residual unit where the number of channels gradually increases as a function of the depth at which the layer occurs, which is similar to a pyramid structure of which the shape gradually widens from the top downwards. It was introduced as part of the PyramidNet architecture.

PaperSourceSee Code · dyhan0920/PyramidNet-PyTorch

Papers archive 2025-07-28

8 shown of 8, 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

9 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 Classification3
General Classification2
image-classification2
Classification1
Decoder1
Language Modeling1
Language Modelling1
Object Recognition1
Stochastic Optimization1

Usage over time archive 2025-07-28

Papers per year tagged with Pyramidal Residual Unit: 2016 to 2023, peak 3 3 0 2016: 2 papers 2016 2017: 2 papers 2017 2018: 3 papers 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 0 papers 2021 2022: 0 papers 2022 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (8 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

Image Model BlocksSkip Connection Blocks

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