Road Anomaly Segmentation Based on Pixel-wise Logit Variance with Iterative Background Highlighting
Author:
Affiliation:
1. School of Computing, Korea Advanced Institute of Science and Technology,Daejeon,Republic of Korea,34141
2. NAVER Cloud,Gyeonggi-do,Republic of Korea,13529
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161159.pdf?arnumber=10161159
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4. Pixel-wise energy-biased abstention learning for anomaly segmentation on complex urban driving scenes;tian;ArXiv Preprint,2021
5. Lost and Found: detecting small road hazards for self-driving vehicles
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