Auto-DeepLab: Fei-Fei Li & Alan Yuille on Semantic Image Segmentation | Synced
A cooperative research group from Google, Stanford, and Johns Hopkins has proposed “Auto-DeepLab,” a new method which utilizes hierarchical Neural Architecture Search (NAS) for semantic image segme...
Source: Synced | AI Technology & Industry Review
A cooperative research group from Google, Stanford, and Johns Hopkins has proposed “Auto-DeepLab,” a new method which utilizes hierarchical Neural Architecture Search (NAS) for semantic image segmentation. The project team includes top AI researchers Director of the Stanford Vision Lab Fei-Fei Li; and UCLA Center for Cognition, Vision, and Learning Director Alan Yuille.