ThunderNet: A Turbo Unified Network for Real-Time Semantic Segmentation-Reference-Cited by-同舟云学术

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ThunderNet: A Turbo Unified Network for Real-Time Semantic Segmentation

Published:2019-01 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Winter Conference on Applications of Computer Vision (WACV)
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Author:

Xiang Wei,Mao Hongda,Athitsos Vassilis

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8642793/8658235/08658836.pdf?arnumber=8658836

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation;Neural Information Processing;2023-11-15

2. ELCT-YOLO: An Efficient One-Stage Model for Automatic Lung Tumor Detection Based on CT Images;Mathematics;2023-05-17

3. Full body video-based self-avatars for mixed reality: from E2E system to user study;Virtual Reality;2023-04-21

4. TransFusionNet: Semantic and Spatial Features Fusion Framework for Liver Tumor and Vessel Segmentation Under JetsonTX2;IEEE Journal of Biomedical and Health Informatics;2023-03

5. Context and Spatial Feature Calibration for Real-Time Semantic Segmentation;IEEE Transactions on Image Processing;2023

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