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MetaFormer

20 papers tagged archive 2025-07-28

Introduced by Weihao Yu et al. in MetaFormer Is Actually What You Need for Vision

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

MetaFormer is a general architecture abstracted from Transformers by not specifying the token mixer.

PaperSource

Papers archive 2025-07-28

20 shown of 20, 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 31 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 Classification8
Semantic Segmentation8
Object Detection6
object-detection4
Image Segmentation3
Medical Image Segmentation3
image-classification3
Decoder2
Segmentation2
Specificity2
3D Reconstruction1
All1
Attribute1
Autonomous Driving1
Benchmarking1
Computational Efficiency1
Data Augmentation1
Decision Making1
Denoising1
Domain Generalization1

Usage over time archive 2025-07-28

Papers per year tagged with MetaFormer: 2021 to 2025, peak 7 7 0 2021: 1 paper 2021 2022: 2 papers 2022 2023: 7 papers 2023 2024: 7 papers 2024 2025: 3 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (20 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

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