AI models
Cascaded LNet-ANet
Published
Nov 28, 2014
Cascaded LNet-ANet is an AI model developed by Chinese University of Hong Kong (CUHK) (Hong Kong), first published in November 2014. It works in the vision domain, on tasks such as face detection.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 9.3M datapoints.
The reference paper has 9,584 citations.
Full record
- Organization
- Chinese University of Hong Kong (CUHK)
- Country of organization
- Hong Kong
- Domain
- Vision
- Task
- Face detection
- Dataset size
- 9.3M
- Citations
- 9,584
More from Chinese University of Hong Kong (CUHK)
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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