Underwater object detection: architectures and algorithms–a comprehensive review
S Fayaz, SA Parah, GJ Qureshi - Multimedia Tools and Applications, 2022 - Springer
Underwater object detection is an essential step in image processing and it plays a vital role
in several applications such as the repair and maintenance of sub-aquatic structures and …
in several applications such as the repair and maintenance of sub-aquatic structures and …
A survey on driver behavior analysis from in-vehicle cameras
Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …
every year. Studying driver behavior has challenges associated with observing drivers in …
Ship detection in SAR images based on an improved faster R-CNN
J Li, C Qu, J Shao - 2017 SAR in Big Data Era: Models …, 2017 - ieeexplore.ieee.org
Deep learning has led to impressive performance on a variety of object detection tasks
recently. But it is rarely applied in ship detection of SAR images. The paper aims to introduce …
recently. But it is rarely applied in ship detection of SAR images. The paper aims to introduce …
Driver distraction identification with an ensemble of convolutional neural networks
The World Health Organization (WHO) reported 1.25 million deaths yearly due to road traffic
accidents worldwide and the number has been continuously increasing over the last few …
accidents worldwide and the number has been continuously increasing over the last few …
Faster R-CNN for marine organisms detection and recognition using data augmentation
Abstract Recently, Faster Region-based Convolutional Neural Network (Faster R-CNN) has
achieved marvelous accomplishment in object detection and recognition. In this paper …
achieved marvelous accomplishment in object detection and recognition. In this paper …
DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks
Mitotic count is a critical predictor of tumor aggressiveness in the breast cancer diagnosis.
Nowadays mitosis counting is mainly performed by pathologists manually, which is …
Nowadays mitosis counting is mainly performed by pathologists manually, which is …
Detection of distracted driver using convolutional neural network
Abstract Number of road accidents is continuously increasing in last few years worldwide. As
per the survey of National Highway Traffic Safety Administrator, nearly one in five motor …
per the survey of National Highway Traffic Safety Administrator, nearly one in five motor …