Low-Rank Sparse Generative Adversarial Unsupervised Domain Adaptation for Multitarget Traffic Scene Semantic Segmentation
Author:
Affiliation:
1. Department of Computer Science, University of Tulsa, Tulsa, OK, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10411967/10193868.pdf?arnumber=10193868
Reference51 articles.
1. Fast Semantic Segmentation for Scene Perception
2. ABSSNet: Attention-Based Spatial Segmentation Network for Traffic Scene Understanding
3. Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning
4. Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning
5. DLnet With Training Task Conversion Stream for Precise Semantic Segmentation in Actual Traffic Scene
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