Methods › Computer Vision › Light-weight neural networks › MobileViTv3

MobileViTv3

1 paper tagged archive 2025-07-28

Introduced by Shakti N. Wadekar et al. in MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input Features

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

MobileViTv3 is a vision transformer that is tuned to mobile device. MobileViTv3 introduced an improved fusion block to reduce cost than MobileViT

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

3 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
Object Detection1
Semantic Segmentation1

Usage over time archive 2025-07-28

Papers per year tagged with MobileViTv3: 2022 to 2022, peak 1 1 0 2022: 1 paper 2022
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

Light-weight neural networksVision Transformers

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