SIDA-GAN: A lightweight Generative Adversarial Network for Single Image Depth Approximation-Reference-Cited by-同舟云学术

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SIDA-GAN: A lightweight Generative Adversarial Network for Single Image Depth Approximation

Published:2022-12 Issue: Volume:16 Page:100636
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

V Anupama^ORCID,Kiran A Geetha

Publisher

Elsevier BV

Subject

General Engineering

Reference72 articles.

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3. On deep learning techniques to boost monocular depth estimation for autonomous navigation;de Queiroz Mendes;Robot. Autonom. Syst.,2021

4. An energy efficient and scalable endpoint linked green content caching for named data network based internet of things;Shrisha;Results Eng.,2022

5. S. H. S., U. Boregowda, Quality-of-service-linked privileged content-caching mechanism for named data networks, Future Internet 14 (5). doi:10.3390/fi14050157. URL https://www.mdpi.com/1999-5903/14/5/157.

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1. A Survey on Recent Advancements in Lightweight Generative Adversarial Networks, their Applications and Datasets;2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI);2023-11-06

2. Video anomaly detection system using deep convolutional and recurrent models;Results in Engineering;2023-06

3. Low-cost autonomous car level 2: Design and implementation for conventional vehicles;Results in Engineering;2023-03

4. M-Net: An encoder-decoder architecture for medical image analysis using ensemble learning;Results in Engineering;2023-03

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