Evaluation of Transfer Learning based Deep Learning architectures for Waste Classification-Reference-Cited by-同舟云学术

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Evaluation of Transfer Learning based Deep Learning architectures for Waste Classification

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)
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Author:

Singh Sukhendra¹,Gautam Jyoti¹,Rawat SurSingh²,Gupta Vimal²,Kumar Gynendra³,Verma Lal Pratap⁴

Affiliation:

1. JSSATE, Noida, affiliated to AKTU,Deptartment of IT,Lucknow,India

2. JSSATE, Noida, affiliated to AKTU,Deptartment of CSE,Lucknow,India

3. Raj Kumar Goel Institute of Technology and Management,Ghaziabad,India

4. Manipal University Jaipur,Department of Computer and Communication Engineering,Jaipur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9668310/9668333/09668454.pdf?arnumber=9668454

Reference33 articles.

1. Cyclical Learning Rates for Training Neural Networks

2. Automatic Image-Based Waste Classification

3. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;32nd Int Conf Mach Learn ICML 2015,0

4. Reweighted infrared patch image model for small target detection based on non‐convex ℒp‐ norm minimisation and TV regularisation

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2. An Efficient Multi-Label Classification-Based Municipal Waste Image Identification;Processes;2024-05-24

3. Using Open Data for Training Deep Learning Models: A Waste Identification Case Study;Communications in Computer and Information Science;2023-11-14

4. A Systematic Literature Review of Waste Identification in Automatic Separation Systems;Recycling;2023-11-02

5. Waste Classification System using a Hybrid Deep Transfer Learning Model;2022 14th International Conference on Computational Intelligence and Communication Networks (CICN);2022-12-04

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