Project AURIONAI Use-Cases Research & Innovation
National University of Singapore
vision

T2T-ViT

Vision transformer trained from scratch on ImageNet with tokens-to-token embedding.

National University of SingaporeNational University of SingaporeSingapore
Figure from the T2T-ViT paper: Comparison between T2T-ViT with ViT, ResNets and MobileNets when trained from scratch on ImageNet.
Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released28 Jan 2021
Opennessunknown
Runs onCPU server
Statusactive

R&D Topics

Image classification backbone architectures (CNN and vision transformer)produced by

Identity

Developer
National University of Singapore
Family
not in the notes
Released
28 Jan 2021 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
image
Output
not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
CPU server
Footprint
Edge or toolkit builds listed in: OpenVINO.
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2101.11986 https://arxiv.org/abs/2101.11986
  2. github.com/openvinotoolkit/open_model_zoo/tree/master/mo... https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/t2t-vit-14
  3. github.com/open-mmlab/mmpretrain/tree/main/configs/t2t_vit https://github.com/open-mmlab/mmpretrain/tree/main/configs/t2t_vit
  4. arxiv.org/html/2101.11986 https://arxiv.org/html/2101.11986

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "T2T-ViT", https://aurion.semai.id/models/t2t-vit/, records of October 2026.