Achromatic Single Metalens Imaging via Deep Neural Network

Y Dong, B Zheng, H Li, H Tang, H Zhao, Y Huang… - ACS …, 2024 - ACS Publications
Meta-optics are attracting intensive interest as alternatives to traditional optical systems
comprising multiple lenses and diffractive elements. Among applications, single metalens …

[HTML][HTML] An improved SAR image semantic segmentation Deeplabv3+ network based on the feature post-processing module

Q Li, Y Kong - Remote Sensing, 2023 - mdpi.com
Synthetic Aperture Radar (SAR) can provide rich feature information under all-weather and
day-night conditions because it is not affected by climatic conditions. However, multiplicative …

An efficient approach for underwater image improvement: Deblurring, dehazing, and color correction

AR Espinosa, D McIntosh… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
As remotely operated underwater vehicles (ROV) and static underwater video and image
collection platforms become more prevalent, there is a significant need for effective ways to …

[HTML][HTML] An improved medical image segmentation framework with Channel-Height-Width-Spatial attention module

X Yu, H Guo, Y Yuan, W Guo, X Yang, H Xu… - … Applications of Artificial …, 2024 - Elsevier
This paper presents an improved version of the U-Net segmentation framework for medical
image segmentation, called CHWS-UNet. To build the proposed framework CHWS-UNet …

AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentation

VT Nguyen, VT Pham, TT Tran - arXiv preprint arXiv:2405.03011, 2024 - arxiv.org
Skin lesion segmentation is a critical task in computer-aided diagnosis systems for
dermatological diseases. Accurate segmentation of skin lesions from medical images is …

A Novel Deep Learning‐Enabled Physical Education Mechanism

W Wang, J Jiang - Mobile Information Systems, 2022 - Wiley Online Library
Race walking is one of the key events in the Tokyo Olympic Games, and also one of the
strengths of China in athletics events. In recent years, China has made remarkable …

Process optimization of chain-die forming for asymmetric channels by an image-based machine learning method

Y Liu, Z Zhang, T Zou, W Chen, D Li - Journal of Manufacturing Processes, 2023 - Elsevier
The coupled springback of twist and angle is a major shape error for high-strength
asymmetric channels in the automotive industry. In the process design stage of sheet metal …

[HTML][HTML] UCDnet: Double U-Shaped Segmentation Network Cascade Centroid Map Prediction for Infrared Weak Small Target Detection

X Xu, J Wang, M Zhu, H Sun, Z Wu, Y Wang, S Cao… - Remote Sensing, 2023 - mdpi.com
In recent years, the development of deep learning has brought great convenience to the
work of target detection, semantic segmentation, and object recognition. In the field of …

An Attention-Fused Deep Learning Model for Accurately Monitoring Cage and Raft Aquaculture at Large-Scale Using Sentinel-2 Data

Y Xu, L Lu - IEEE Journal of Selected Topics in Applied Earth …, 2024 - ieeexplore.ieee.org
Cage and raft aquaculture (CRA) is vital for the coastal economy and provides high-quality
aquatic products. Accurately monitoring large-scale CRA lays the foundation for predicting …

[PDF][PDF] Applicability analysis of attention U-Nets over vanilla variants for automated ship detection

P Gajjar, M Garg, V Shah, P Shah… - Reports on Geodesy and …, 2022 - intapi.sciendo.com
Accurate and efficient detection of ships from aerial images is an intriguing and difficult task
of extreme societal importance due to their implication and association with maritime …