A review of deep learning algorithms for computer vision systems in livestock
In livestock operations, systematically monitoring animal body weight, biometric body
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …
measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is …
Machine learning techniques to characterize functional traits of plankton from image data
Plankton imaging systems supported by automated classification and analysis have
improved ecologists' ability to observe aquatic ecosystems. Today, we are on the cusp of …
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 …
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 …
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
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 …
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 …
classical computer vision tasks and have recently made their way into natural sciences …
Poseidon: Face-from-depth for driver pose estimation
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 …
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
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 …
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
Biometric based systems are involved in many areas, from surveillance to user
authentication, from autonomous systems to human-robot interactions. Head pose …
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 …
networks (CNNs) have been demonstrating overwhelming superiority among other methods …