[HTML][HTML] A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas

J Terven, DM Córdova-Esparza… - Machine Learning and …, 2023 - mdpi.com
YOLO has become a central real-time object detection system for robotics, driverless cars,
and video monitoring applications. We present a comprehensive analysis of YOLO's …

[HTML][HTML] Review of image classification algorithms based on convolutional neural networks

L Chen, S Li, Q Bai, J Yang, S Jiang, Y Miao - Remote Sensing, 2021 - mdpi.com
Image classification has always been a hot research direction in the world, and the
emergence of deep learning has promoted the development of this field. Convolutional …

[HTML][HTML] A survey of deep convolutional neural networks applied for prediction of plant leaf diseases

VS Dhaka, SV Meena, G Rani, D Sinwar, MF Ijaz… - Sensors, 2021 - mdpi.com
In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …

[HTML][HTML] Lite-yolov5: A lightweight deep learning detector for on-board ship detection in large-scene sentinel-1 sar images

X Xu, X Zhang, T Zhang - Remote Sensing, 2022 - mdpi.com
Synthetic aperture radar (SAR) satellites can provide microwave remote sensing images
without weather and light constraints, so they are widely applied in the maritime monitoring …

[HTML][HTML] A state-of-the-art survey on deep learning theory and architectures

MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike… - electronics, 2019 - mdpi.com
In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …

[HTML][HTML] Deep learning for land use and land cover classification based on hyperspectral and multispectral earth observation data: A review

A Vali, S Comai, M Matteucci - Remote Sensing, 2020 - mdpi.com
Lately, with deep learning outpacing the other machine learning techniques in classifying
images, we have witnessed a growing interest of the remote sensing community in …

[HTML][HTML] Quad-FPN: A novel quad feature pyramid network for SAR ship detection

T Zhang, X Zhang, X Ke - Remote Sensing, 2021 - mdpi.com
Ship detection from synthetic aperture radar (SAR) imagery is a fundamental and significant
marine mission. It plays an important role in marine traffic control, marine fishery …

[HTML][HTML] Identifying facemask-wearing condition using image super-resolution with classification network to prevent COVID-19

B Qin, D Li - Sensors, 2020 - mdpi.com
The rapid worldwide spread of Coronavirus Disease 2019 (COVID-19) has resulted in a
global pandemic. Correct facemask wearing is valuable for infectious disease control, but …

Machine learning and deep learning in medical imaging: intelligent imaging

G Currie, KE Hawk, E Rohren, A Vial, R Klein - Journal of medical imaging …, 2019 - Elsevier
Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An
understanding of the principles and application of radiomics, artificial neural networks …

[HTML][HTML] A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition

A Fuentes, S Yoon, SC Kim, DS Park - Sensors, 2017 - mdpi.com
Plant Diseases and Pests are a major challenge in the agriculture sector. An accurate and a
faster detection of diseases and pests in plants could help to develop an early treatment …