Methods › Computer Vision › Light-weight neural networks › MobileViTv2

MobileViTv2

5 papers tagged archive 2025-07-28

Introduced by Sachin Mehta et al. in Separable Self-attention for Mobile Vision Transformers

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

MobileViTv2 is a vision transformer that is tuned to mobile device. MobileViTv2 introduced a separable self-attention method to reduce cost than MobileViT

PaperSource

Papers archive 2025-07-28

5 shown of 5, 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

13 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
Object Detection3
CPU1
Computational Efficiency1
Earth Observation1
GPU1
Instance Segmentation1
Quantization1
Remote Sensing Image Classification1
Satellite Image Classification1
Semantic Segmentation1
image-classification1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with MobileViTv2: 2022 to 2024, peak 2 2 0 2022: 2 papers 2022 2023: 1 paper 2023 2024: 2 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (5 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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