Methods › Computer Vision › Image Models › PoolFormer

PoolFormer

9 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.

PoolFormer is instantiated from MetaFormer by specifying the token mixer as extremely simple operator, pooling. PoolFormer is utilized as a tool to verify MetaFormer hypothesis "MetaFormer is actually what you need" (vs "Attention is all you need").

PaperSource

Papers archive 2025-07-28

9 shown of 9, 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 29 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 Classification4
Semantic Segmentation2
Anomaly Detection1
Brain Computer Interface1
Classification1
Computed Tomography (CT)1
Domain Generalization1
EEG1
Efficient Neural Network1
GPU1
Gesture Recognition1
Hand Gesture Recognition1
Hand-Gesture Recognition1
Image Augmentation1
Image-text Retrieval1
Language Modeling1
Language Modelling1
Management1
Motor Imagery1
Object Detection1

Usage over time archive 2025-07-28

Papers per year tagged with PoolFormer: 2021 to 2025, peak 3 3 0 2021: 1 paper 2021 2022: 3 papers 2022 2023: 2 papers 2023 2024: 2 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (9 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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