OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference-Reference-Cited by-同舟云学术

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OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
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Author:

Demidovskij Alexander,Gorbachev Yury,Fedorov Mikhail,Slavutin Iliya,Tugarev Artyom,Fatekhov Marat,Tarkan Yaroslav

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8982559/9021948/09022274.pdf?arnumber=9022274

Cited by 33 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. Optimizing YOLOv8 for Real-Time Performance in Humanoid Soccer Robots with OpenVINO;2024 International Electronics Symposium (IES);2024-08-06

2. Federated Learning for Smoke and Fire Detection Models Optimization;2024 41st National Radio Science Conference (NRSC);2024-04-16

3. Novel GA-Based DNN Architecture for Identifying the Failure Mode with High Accuracy and Analyzing Its Effects on the System;Applied Sciences;2024-04-16

4. A-Net: An A-Shape Lightweight Neural Network for Real-Time Surface Defect Segmentation;IEEE Transactions on Instrumentation and Measurement;2024

5. Sparse-Representation-Based Image Reconstruction for Magnetic Particle Imaging;IEEE Transactions on Instrumentation and Measurement;2024

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