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| A Study of Real-time Semantic Segmentation Performance Improvement in Unstructured Outdoor Environment |
| Daeyoung Kim, Seunguk Ahn, Seung-Woo Seo |
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J. KIMS Technol. 2022;25(6):606-616. Published online December 5, 2022 DOI: https://doi.org/10.9766/KIMST.2022.25.6.606 |
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A Study of Real-time Semantic Segmentation Performance Improvement in Unstructured Outdoor Environment Journal of the Korea Institute of Military Science and Technology. 2022;25(6):606-616  RTSNet: Real-Time Semantic Segmentation Network For Outdoor Scenes 2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). 2019; Real-time semantic segmentation on edge devices: A performance comparison of segmentation models 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). 2022; A De-raining semantic segmentation network for real-time foreground segmentation Journal of Real-Time Image Processing. 2020;18(3):873-887 A Comparative Study of Recent Real Time Semantic Segmentation Algorithms for Visual Semantic SLAM 2020 IEEE International Conference on Big Data and Smart Computing (BigComp). 2020; A Hierarchical Semantic Map for Large-scale Outdoor Environment 2021 IEEE International Conference on Real-time Computing and Robotics (RCAR). 2021; Real-Time Outdoor Localization Improvement for IoT Anchor Nodes . 2022; Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2020; Real time video summarizing using image semantic segmentation for CBVR Journal of Real-Time Image Processing. 2021;18(5):1827-1836 Development of an Ensembled Meta-Deep Learning Model for Semantic Road-Scene Segmentation in an Unstructured Environment Applied Sciences. 2022;12(23):12214 |
