Deep Convolutional Generative Adversarial Network-Based Food Recognition Using Partially Labeled Data-Reference-Cited by-同舟云学术

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Deep Convolutional Generative Adversarial Network-Based Food Recognition Using Partially Labeled Data

Published:2019-02 Issue:2 Volume:3 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Mandal Bappaditya^ORCID,Puhan Niladri B.^ORCID,Verma Avijit

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/8630840/08573882.pdf?arnumber=8573882

Cited by 28 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. Target localization and defect detection of distribution insulators based on ECA‐SqueezeNet and CVAE‐GAN;IET Image Processing;2024-09-07

2. An Optimized Recurrent Neural Network for re-modernize food dining bowls and estimating food capacity from images;Entertainment Computing;2024-05

3. Deep learning in food authenticity: Recent advances and future trends;Trends in Food Science & Technology;2024-02

4. Multi-food detection using a modified swin-transfomer with recursive feature pyramid network;Multimedia Tools and Applications;2023-12-12

5. HI-RES ACG: Towards High-Resolution Anime Characters Generation;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

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