Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization-Reference-Cited by-同舟云学术

Development of a compressed FCN architecture for semantic segmentation using Particle Swarm Optimization

Published:2023-02-03 Issue:16 Volume:35 Page:11833-11846
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Agarwal Mohit,Gupta Suneet K.,Biswas K. K.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08324-3.pdf

Reference55 articles.

1. Street scene images dataset (2007) http://mi.eng.cam.ac.uk/research/projects/ VideoRec/CamSeq01/

2. Lungs x-ray dataset (2018) https://www.kaggle.com/eduardomineo/ lung-segmentation-of-rsna-challenge-data/data

3. Agarwal M, Gupta S, Biswas K (2020) A new conv2d model with modified relu activation function for identification of disease type and severity in cucumber plant. Sustain Comput Informat Syst 30:100473

4. Agarwal M, Gupta SK, Biswas K (2020) Development of efficient CNN model for tomato crop disease identification. Sustain Comput Inform Syst 28:100407

5. Alqazzaz S, Sun X, Yang X, Nokes L (2019) Automated brain tumor segmentation on multi-modal MR image using segnet. Comput Vis Media 5(2):209–219

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