Review on convolutional neural network (CNN) applied to plant leaf disease classification
J Lu, L Tan, H Jiang - Agriculture, 2021 - mdpi.com
Crop production can be greatly reduced due to various diseases, which seriously endangers
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
food security. Thus, detecting plant diseases accurately is necessary and urgent. Traditional …
Background subtraction in real applications: Challenges, current models and future directions
Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …
in their first step. Background subtraction is then applied in order to separate the background …
Traffic sign detection and recognition using fully convolutional network guided proposals
Detecting and recognizing traffic signs is a hot topic in the field of computer vision with lots of
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …
Improved VGG model-based efficient traffic sign recognition for safe driving in 5G scenarios
Z Bi, L Yu, H Gao, P Zhou, H Yao - International Journal of Machine …, 2021 - Springer
The rapid development and application of AI in intelligent transportation systems has widely
impacted daily life. The application of an intelligent visual aid for traffic sign information …
impacted daily life. The application of an intelligent visual aid for traffic sign information …
Deep detection network for real-life traffic sign in vehicular networks
The challenge for real-life traffic sign detection lies in recognizing small targets in a large
and complex background, making state-of-the-art general object detection methods not work …
and complex background, making state-of-the-art general object detection methods not work …
Soft Computing based object detection and tracking approaches: State-of-the-Art survey
In recent years, analysis and interpretation of video sequences to detect and track objects of
interest had become an active research field in computer vision and image processing …
interest had become an active research field in computer vision and image processing …
Multi‐defect segmentation from façade images using balanced copy–paste method
Façade defect is an unavoidable and considerable problem to existing buildings and can
cause great influence to building owners. The traditional manual façade inspection method …
cause great influence to building owners. The traditional manual façade inspection method …
Unsupervised Moving Object Segmentation with Atmospheric Turbulence
Moving object segmentation in the presence of atmospheric turbulence is highly challenging
due to turbulence-induced irregular and time-varying distortions. In this paper, we present …
due to turbulence-induced irregular and time-varying distortions. In this paper, we present …
Real-world railway traffic detection based on faster better network
J Li, F Zhou, T Ye - IEEE Access, 2018 - ieeexplore.ieee.org
Detection of railway shape and dangerous obstacles plays a critical role in the auxiliary
driving of the train. Speed and accuracy are both of great significance to real-world railway …
driving of the train. Speed and accuracy are both of great significance to real-world railway …
Unsupervised region-growing network for object segmentation in atmospheric turbulence
In this paper, we present a two-stage unsupervised foreground object segmentation network
tailored for dynamic scenes affected by atmospheric turbulence. In the first stage, we utilize …
tailored for dynamic scenes affected by atmospheric turbulence. In the first stage, we utilize …