Semi-supervised Multi-task Learning for Semantics and Depth
Author:
Affiliation:
1. Beihang University
2. Phiar Technologies
3. Waymo
4. University of California at Merced
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706962.pdf?arnumber=9706962
Reference72 articles.
1. DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency
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5. Semi-supervised multitask learning for scene recognition;lu;IEEE Trans CYBERNETICS,2014
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