Levelmodel
Classvision
Parametersnot in the notes
Contextnot in the notes
Released24 Jun 2021
Opennessunknown
Runs onnot in the notes
Statusactive
R&D Topics
Identity
- Developer
- Microsoft Research
- Family
- not in the notes
- Released
- 24 Jun 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
- video
- Output
- labels and boxes
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
- not in the notes
- Footprint
- not in the notes
- 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.
Links
Developer
Microsoft Researchbig tech, USA
Microsoft Researchbig tech, USAModelVideo Swin TransformerMicrosoft Research, vision
Video Swin TransformerMicrosoft Research, visionR&D TopicsVideo Action Recognition and Temporal UnderstandingImage Classification Backbone Architectures (CNN and Vision Transformer)
Use Casesnone recorded
Who Runs Itnone recorded
Organisations 1
R&D topics 2
Image Classification Backbone Architectures (CNN and Vision Transformer)Designing the core networks that turn an image into features, from residual CNNs to visio…produced byVideo Action Recognition and Temporal UnderstandingClassifying and locating human actions and events in video clips.produced by
Sources
- arxiv.org/abs/2106.13230 https://arxiv.org/abs/2106.13230
- github.com/open-mmlab/mmaction2/tree/main/configs/recogn... https://github.com/open-mmlab/mmaction2/tree/main/configs/recognition/swin
- pytorch.org/vision/stable/models/video_swin_transformer.h... https://pytorch.org/vision/stable/models/video_swin_transformer.html
- arxiv.org/html/2106.13230 https://arxiv.org/html/2106.13230
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Video Swin Transformer", https://aurion.semai.id/models/video-swin-transformer/, records of October 2026.