Real-time plant health assessment via implementing cloud-based scalable transfer learning on AWS DeepLens
The control of plant leaf diseases is crucial as it affects the quality and production of plant
species with an effect on the economy of any country. Automated identification and …
species with an effect on the economy of any country. Automated identification and …
Attention based multi-layer fusion of multispectral images for pedestrian detection
Y Zhang, Z Yin, L Nie, S Huang - IEEE Access, 2020 - ieeexplore.ieee.org
Multispectral images are increasingly used for pedestrian detection. Preliminary fusion
strategies would fail to exploit informative features from cross-spectral images, or worse …
strategies would fail to exploit informative features from cross-spectral images, or worse …
Coupled network for robust pedestrian detection with gated multi-layer feature extraction and deformable occlusion handling
Pedestrian detection methods have been significantly improved with the development of
deep convolutional neural networks. Nevertheless, detecting ismall-scaled pedestrians and …
deep convolutional neural networks. Nevertheless, detecting ismall-scaled pedestrians and …
Map: Multispectral adversarial patch to attack person detection
Recently, multispectral person detection has shown great performance in real world
applications such as autonomous driving and security systems. However, the reliability of …
applications such as autonomous driving and security systems. However, the reliability of …
Adaptive pattern-parameter matching for robust pedestrian detection
Pedestrians with challenging patterns, eg small scale or heavy occlusion, appear frequently
in practical applications like autonomous driving, which remains tremendous obstacle to …
in practical applications like autonomous driving, which remains tremendous obstacle to …
Robust thermal infrared pedestrian detection by associating visible pedestrian knowledge
Recently, pedestrian detection on thermal infrared images has shown the robust pedestrian
detection performance. In this paper, we propose a novel thermal infrared pedestrian …
detection performance. In this paper, we propose a novel thermal infrared pedestrian …
[HTML][HTML] Salient object detection combining a self-attention module and a feature pyramid network
Salient object detection has achieved great improvements by using the Fully Convolutional
Networks (FCNs). However, the FCN-based U-shape architecture may cause dilution …
Networks (FCNs). However, the FCN-based U-shape architecture may cause dilution …
A Novel Efficient Dual-Gate Mixed Dilated Convolution Network for Multi-Scale Pedestrian Detection
ERV Reddy, S Thale - Engineering, Technology & Applied Science …, 2023 - etasr.com
With the increasing use of onboard high-speed computing systems, vehicle manufacturers
are offering significant advanced features of driver assistance systems. Pedestrian detection …
are offering significant advanced features of driver assistance systems. Pedestrian detection …
Analysis of pedestrian activity before and during COVID-19 lockdown, using webcam time-lapse from Cracow and machine learning
R Szczepanek - PeerJ, 2020 - peerj.com
At the turn of February and March 2020, COVID-19 pandemic reached Europe. Many
countries, including Poland imposed lockdown as a method of securing social distance …
countries, including Poland imposed lockdown as a method of securing social distance …
Automated Detection and Monitoring of Vegetation Through Deep Learning
A Khan - 2022 - vuir.vu.edu.au
Healthy vegetation are essential not just for environmental sustainability but also for the
development of sustainable and liveable cities. It is undeniable that human activities are …
development of sustainable and liveable cities. It is undeniable that human activities are …