Unifying Panoptic Segmentation for Autonomous Driving-Reference-Cited by-同舟云学术

Unifying Panoptic Segmentation for Autonomous Driving

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Zendel Oliver¹,Schorghuber Matthias¹,Rainer Bernhard¹,Murschitz Markus¹,Beleznai Csaba¹

Affiliation:

1. AIT Austrian Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879529.pdf?arnumber=9879529

Reference40 articles.

1. Wilddash-creating hazard-aware benchmarks;zendel;European Conference on Computer Vision (ECCV),0

2. BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

3. ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

4. Map-guided curriculum domain adaptation and uncertainty-aware evaluation for semantic nighttime image segmentation;sakaridis;IEEE Transactions on Pattern Analysis and Machine Intelligence,2020

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