Methods › Computer Vision › Vision Transformers › CPVT

Conditional Position Encoding Vision Transformer

CPVT

2 papers tagged archive 2025-07-28

Introduced by Xiangxiang Chu et al. in Conditional Positional Encodings for Vision Transformers

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

CPVT, or Conditional Position Encoding Vision Transformer, is a type of vision transformer which utilizes conditional positional encoding. Other than the new encodings, it follows the same architecture of ViT and DeiT.

PaperSource

Papers archive 2025-07-28

2 shown of 2, 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

15 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
AutoML1
Classification1
General Classification1
Image Classification1
Inductive Bias1
Instance Segmentation1
Mamba1
Position1
Semantic Segmentation1
State Space Models1
Time Series1
Time Series Analysis1
Transfer Learning1
Translation1
image-classification1

Usage over time archive 2025-07-28

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

Vision Transformers

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