1. Transfer learning is utilized to borrow prior knowledge from existing source datasets. Active learning is used to annotate the most informative target ...
We tackle the problem of utilizing some existing attribute databases to annotate attributes for a target large-scale database, where transfer learning and ...
Based on the common knowledge that attributes can be shared among different classes, we leverage the benefits of transfer learning and active learning together ...
Semantic Scholar extracted view of "Attribute annotation on large-scale image database by active knowledge transfer" by Huajie Jiang et al.
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Jul 20, 2018 · (Note: you will need to create a separate account there.) Attribute annotation on large-scale image database by active knowledge transfer
Bibliographic details on Attribute annotation on large-scale image database by active knowledge transfer.
Attribute annotation on large-scale image database by active knowledge transfer. H Jiang, R Wang, Y Li, H Liu, S Shan, X Chen. Image and Vision Computing 78 ...
Attribute annotation on large-scale image database by active knowledge transfer - ScienceDirect ... Nobody's responded to this post yet. Add your thoughts and get ...
Mar 4, 2024 · Attribute Annotation on Large Scale Image Database by Active Knowledge Transfer ... Attributes are widely used in different vision tasks. However, ...
