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Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
The task of roof damage classification and segmentation from overhead imagery presents unique challenges.
One of these (Few) Things is Not Like the Others
We propose a model which can both classify new images based on a small number of examples and recognize images which do not belong to any previously seen group.
Sometimes You Want to Go Where Everybody Knows your Name
This experiment functions as an example of the tension between doing well globally on all users, and doing well on any specific individual user.
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