Detecting out-of-distribution examples is important for safety-critical
...
We describe an approach to learning rich representations for images, tha...
We introduce DIODE, a dataset that contains thousands of diverse high
re...
We construct custom regularization functions for use in supervised train...
We propose an approach for learning category-level semantic segmentation...
We introduce a purely feed-forward architecture for semantic segmentatio...