Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
Author:
Affiliation:
1. University of Adelaide,Australian Institute for Machine Learning
2. Harvard University
3. Singapore Management University
4. Friedrich-Alexander-Universitat Erlangen-Nürnberg
5. University of Surrey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377349.pdf?arnumber=10377349
Reference45 articles.
1. Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
2. The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
3. Segmentmeifyoucan: A benchmark for anomaly segmentation;Chan,2021
4. Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation
5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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