AI models
Super-vector coding
Parameters
1K
Published
Jan 1, 2010
Super-vector coding is an AI model developed by University of Illinois Urbana-Champaign (UIUC), NEC Laboratories and Rutgers University (United States), first published in January 2010. It works in the vision domain, on tasks such as image classification and object recognition.
Epoch AI has no training-compute estimate for this model. The model has 1,025 parameters.
The reference paper has 696 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- University of Illinois Urbana-Champaign (UIUC), NEC Laboratories, Rutgers University
- Country of organization
- United States
- Domain
- Vision
- Task
- Image classification, Object recognition
- Parameters
- 1,025
- Citations
- 696
- Epoch confidence
- Speculative
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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