Methods › Computer Vision › Image Models › MetaNeXt

MetaNeXt

1 paper tagged archive 2025-07-28

Introduced by Weihao Yu et al. in InceptionNeXt: When Inception Meets ConvNeXt

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

MetaNeXt is a meta-architecture abstracted from ConvNeXt, which can be regarded as a simpler version obtained from MetaFormer by merging token mixer and MLP into one.

PaperSource

Papers archive 2025-07-28

1 shown of 1, 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

2 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 Classification1
Semantic Segmentation1

Usage over time archive 2025-07-28

Papers per year tagged with MetaNeXt: 2023 to 2023, peak 1 1 0 2023: 1 paper 2023
Papers per year the archive tags with this method, by the paper's archive date (1 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 Models

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections