GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection
The lack of data and poor quality of ground penetrating radar (GPR) images have limited the
development of the object detection for internal cracks in asphalt pavement. To address this …
development of the object detection for internal cracks in asphalt pavement. To address this …
An effective structure of multi-modal deep convolutional neural network with adaptive group teaching optimization
Deep learning models have been extensively used in pattern recognition and image
processing. The conventional deep learning methods highly focused on the learning feature …
processing. The conventional deep learning methods highly focused on the learning feature …
HDFA-Net: A high-dimensional decoupled frequency attention network for steel surface defect detection
Accurately detecting surface defects is crucial for maintaining the quality of steel products.
The existing methods often struggle with identifying small defects in complex scenes. To …
The existing methods often struggle with identifying small defects in complex scenes. To …
Embedded U-Net: combines multiple feature fusion encode and subpixel reconstruction for microcracks salient object detection
Y Pan, S Wang, Y Cui, Y Zhang - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
The efficient identification of microcracks is of great significance to the early fault diagnosis
of structures. The edge pixels of the microcracks have obvious changes that can be …
of structures. The edge pixels of the microcracks have obvious changes that can be …
Classification of breast cancer pathological images combining fine-grained region location
S Ma, B Yang, G Tian, X Li - … International Conference on …, 2023 - spiedigitallibrary.org
Classification algorithm based on deep learning is the main technology for computer-aided
intelligent diagnosis of breast pathological images. The existing deep learning algorithms …
intelligent diagnosis of breast pathological images. The existing deep learning algorithms …
Lightweight Multi-scale and Multi-level Feature Fusion Network for RGB-DT Salient Object Detection
X Zhou, F Cui, Z Bai, D Liu, G Zhang… - Available at SSRN … - papers.ssrn.com
Abstract Most RGB-DT SOD models are committed to constructing complex feature
extraction and multi-modal fusion modules for dealing with scenarios that RGB SOD models …
extraction and multi-modal fusion modules for dealing with scenarios that RGB SOD models …