A review of deep learning algorithms for computer vision systems in livestock

DAB Oliveira, LGR Pereira, T Bresolin, REP Ferreira… - Livestock Science, 2021 - Elsevier
In livestock operations, systematically monitoring animal body weight, biometric body
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …

Machine learning techniques to characterize functional traits of plankton from image data

EC Orenstein, SD Ayata, F Maps… - Limnology and …, 2022 - Wiley Online Library
Plankton imaging systems supported by automated classification and analysis have
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …

A comprehensive analysis of deep regression

S Lathuilière, P Mesejo… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Deep learning revolutionized data science, and recently its popularity has grown
exponentially, as did the amount of papers employing deep networks. Vision tasks, such as …

Multimodal face-pose estimation with multitask manifold deep learning

C Hong, J Yu, J Zhang, X Jin… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Face-pose estimation aims at estimating the gazing direction with two-dimensional face
images. It gives important communicative information and visual saliency. However, it is …

Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images

Z Kolar, H Chen, X Luo - Automation in Construction, 2018 - Elsevier
Safety has been a concern for the construction industry for decades. Unsafe conditions and
behaviors are considered as the major causes of construction accidents. The current safety …

[HTML][HTML] Explainable machine learning for precise fatigue crack tip detection

D Melching, T Strohmann, G Requena, E Breitbarth - Scientific Reports, 2022 - nature.com
Data-driven models based on deep learning have led to tremendous breakthroughs in
classical computer vision tasks and have recently made their way into natural sciences …

Poseidon: Face-from-depth for driver pose estimation

G Borghi, M Venturelli, R Vezzani… - Proceedings of the …, 2017 - openaccess.thecvf.com
Fast and accurate upper-body and head pose estimation is a key task for automatic
monitoring of driver attention, a challenging context characterized by severe illumination …

A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning

F Liu, D Chen, J Zhou, F Xu - Engineering Applications of Artificial …, 2022 - Elsevier
Driver fatigue is an essential reason for traffic accidents, which poses a severe threat to
people's lives and property. In this review, we summarize the latest research findings and …

Head pose estimation: An extensive survey on recent techniques and applications

AF Abate, C Bisogni, A Castiglione, M Nappi - Pattern Recognition, 2022 - Elsevier
Biometric based systems are involved in many areas, from surveillance to user
authentication, from autonomous systems to human-robot interactions. Head pose …

Similarity-based unsupervised deep transfer learning for remote sensing image retrieval

Y Liu, L Ding, C Chen, Y Liu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the field of content-based remote sensing (RS) image retrieval, convolutional neural
networks (CNNs) have been demonstrating overwhelming superiority among other methods …