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[HTML][HTML] Object detection based on lightweight YOLOX for autonomous driving
Accurate and rapid response in complex driving scenarios is a challenging problem in
autonomous driving. If a target is detected, the vehicle will not be able to react in time …
autonomous driving. If a target is detected, the vehicle will not be able to react in time …
FHIC: Fast hyperspectral image classification model using ETR dimensionality reduction and ELU activation function
D Al-Alimi, Z Cai, MAA Al-qaness - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral images (HSIs) are typically utilized in a wide variety of practical applications.
HSI is replete with spatial and spectral information, which provides precise data for material …
HSI is replete with spatial and spectral information, which provides precise data for material …
[HTML][HTML] Crack detection method for engineered bamboo based on super-resolution reconstruction and generative adversarial network
H Zhou, Y Liu, Z Liu, Z Zhuang, X Wang, B Gou - Forests, 2022 - mdpi.com
Engineering bamboo is a type of cheap and good-quality, easy-to-process material, which is
widely used in construction engineering, bridge engineering, water conservancy …
widely used in construction engineering, bridge engineering, water conservancy …
Frequency-based enhancement network for efficient super-resolution
Recently, deep convolutional neural networks (CNNs) have provided outstanding
performance in single image super-resolution (SISR). Despite their remarkable …
performance in single image super-resolution (SISR). Despite their remarkable …
[HTML][HTML] Super-resolution reconstruction of speckle images of engineered bamboo based on an attention-dense residual network
W Yu, Z Liu, Z Zhuang, Y Liu, X Wang, Y Yang, B Gou - Sensors, 2022 - mdpi.com
With the global population surge, the consumption of nonrenewable resources and pollution
emissions have reached an alarming level. Engineered bamboo is widely used in …
emissions have reached an alarming level. Engineered bamboo is widely used in …
RDNRnet: A Reconstruction Solution of NDVI Based on SAR and Optical Images by Residual-in-Residual Dense Blocks
The reconstruction of the normalized difference vegetation index (NDVI) is a crucial
prerequisite for numerous spatiotemporal continuous studies. To address the limitations …
prerequisite for numerous spatiotemporal continuous studies. To address the limitations …
Compound attention and neighbor matching network for multi-contrast MRI super-resolution
Multi-contrast magnetic resonance imaging (MRI) reflects information about human tissue
from different perspectives and has many clinical applications. By utilizing the …
from different perspectives and has many clinical applications. By utilizing the …
HDR-CNF: single-image high dynamic range imaging based on conditional normalizing flows
In this paper, we present HDR-CNF, a novel method for reconstructing high dynamic range
(HDR) images from single low dynamic range (LDR) images using conditional normalizing …
(HDR) images from single low dynamic range (LDR) images using conditional normalizing …
Exploration of MPSO-Two-Stage Classification Optimization Model for Scene Images with Low Quality and Complex Semantics
K Liu, R Wang, X Song, X Deng, Q Zhu - Sensors, 2024 - mdpi.com
Currently, complex scene classification strategies are limited to high-definition image scene
sets, and low-quality scene sets are overlooked. Although a few studies have focused on …
sets, and low-quality scene sets are overlooked. Although a few studies have focused on …
Infrared single pixel imaging based on generative adversarial network
Y Jiang, Y Zhang, F Zhang - Journal of Shanghai Jiaotong University …, 2023 - Springer
In the field of imaging, the image resolution is required to be higher. There is always a
contradiction between the sensitivity and resolution of the seeker in the infrared guidance …
contradiction between the sensitivity and resolution of the seeker in the infrared guidance …