DANet

Published

Apr 21, 2019

DANet is an AI model developed by Chinese Academy of Sciences (China), first published in April 2019. It works in the vision domain, on tasks such as semantic segmentation.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 1.8B datapoints.

Access: Open weights (unrestricted). Its weights are openly available. The reference paper has 5,741 citations.

Full record

Organization: Chinese Academy of Sciences
Country of organization: China
Domain: Vision
Task: Semantic segmentation
Dataset size: 1.8B
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Citations: 5,741