MS-CNN
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- IBM,University of California San Diego
- Organisation type
- Industry,Academia
- Country
- United States of America
- Published
- 17 September 2016
- Authors
- Zhaowei Cai, Quanfu Fan, Rogerio S. Feris, Nuno Vasconcelos
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Object detection
- Numerical format
- FP32
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
- Citations
- 1,530
Sources
Where this record came from and when it was last checked.
- Reference
- A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- Last updated
- 1 January 2026
What the numbers mean
What this model is
MS-CNN was published by IBM,University of California San Diego, in United States of America, in September 2016. industry,Academia is the category the publisher falls under.
It works in Vision, and is recorded as doing object detection.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
MS-CNN — common questions
What GPU do I need to run MS-CNN?
None. MS-CNN is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is MS-CNN open source?
The licensing for MS-CNN was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does MS-CNN have?
No parameter count has been published for MS-CNN, which is why no memory or speed figure appears on this page.
Who created MS-CNN?
MS-CNN was published by IBM,University of California San Diego, based in United States of America, categorised as industry,Academia.
When was MS-CNN released?
MS-CNN was published in September 2016. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is MS-CNN used for?
MS-CNN works in Vision, and is recorded as handling object detection. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.