Divide, Share, and Conquer: Multi-Task Attribute Learning With Selective Sharing
We explain how visual attribute learning may benefit from multi-task/transfer learning approaches that carefully select what to share among whom. We show that such methods can combat noisy correlations among attributes, and variations among attribute appearances across object categories.
Jan 1, 1010