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Improved Mask R-CNN Network Method for PV Panel Defect Detection
Abstract: With the increasing popularity of photovoltaic power generation, the demand for photovoltaic panel defect detection in the industry is also increasing. Deep learning can automatically extract individual photovoltaic panels from images or ...
Skeleton-based Generative Adversarial Networks for Font Shape Style Transfer: Learning text style from some characters and transferring the style to any unseen characters
This paper presents a new font shape style transfer technique that employs a generative adversarial network (GAN) and skeleton-based input feature maps to modify a target text to match a target font shape while retaining the original text content. Our ...
An Infrared Dim-small Target Detection Method Based on Improved YOLOv7
Efficient detection of dim-small targets with high accuracy is a difficult task in the field of infrared target tracking since the tiny size of small infrared targets significantly reduces the accuracy of conventional models. To address this issue, this ...
3D Ultrasound Tomography Image Reconstruction Algorithm by GPU
At present, X-ray technology, B-ultrasound and magnetic resonance imaging technology have more or less defects in the detection of female breast cancer, so the early detection of breast cancer is still a very important challenge. Ultrasound tomography (...
Self Attention in U-Net for Semantic Segmentation of Low Resolution SAR Images
The SAR image semantic segmentation using computer vision techniques has gained much popularity in the research community due to their wide applications. Despite the advancements in Deep Learning for image analysis, these models still struggle to ...
Medical Image Segmentation Approach via Transformer Knowledge Distillation
Numerous transformer-based medical image segmentation methods have been proposed and achieved good segmentation results. However, it is still a challenge to train and deploy transformer networks to mobile medical devices due to a large number of model ...
Improving Object Detection Robustness against Natural Perturbations through Synthetic Data Augmentation
Robustness against real-world distribution shifts is crucial for the successful deployment of object detection models in practical applications. In this paper, we address the problem of assessing and enhancing the robustness of object detection models ...
Application of visible light-infrared image fusion technology in power system fault detection
Infrared thermal imaging is widely used in industrial inspection due to its advantages such as passive identification, non-contact detection, long detection distance and strong environmental adaptability. In power systems, infrared thermal imaging can ...
Deep Object Detection for Complex Architectural Floor Plans with Efficient Receptive Fields
Architectural floor plans play an important role in sharing the building information among engineers, designers, and clients. Automatic floor plan analysis can help in improving work efficiency and accuracy. Object detection and recognition are critical ...
Self-adaptive Methods with Flexible Detection Criteria of the Battery Cell Dent Defect
For the battery cell production lines using automatic defect detection equipment, it becomes necessary to control the fluctuation of the yield rate of the production line, and adapt to the difference among the cell replacements and the incoming material ...
Remaining useful life prediction via K-means clustering analysis and deep convolutional neural network
To improve the prediction accuracy of remaining useful life (RUL), a deep learning method coupled with clustering analysis is proposed. K-means clustering algorithm is employed to analyze the operation settings in data set for matching different ...
Hierarchical Attention based Feature Learning for Interpretable Social Event Prediction
abstract. Major social events, e.g., civil unrests, generally impact both social stability and civil life. Therefore, anticipating the occurrence of concerned social events in advance is of great significance to decision makers. By mining previous ...
Analysis of Fuzzy Network Selection Algorithm for Heterogeneous Wireless Mobile Networks
Over the last couple of years, the recent pandemic rendered work operations to be mobile and relied heavily on real-time and traffic-intensive applications such as online classrooms and meetings. Since our working life requires seamless mobility and ...
Comparative Analysis of Deep Learning Models for Predicting Online Review Helpfulness
The exponential growth of online customer reviews has created challenges for potential buyers to filter and identify helpful reviews, directly affecting their shopping experience. Accurate prediction of review helpfulness can improve the selection and ...
Index Terms
- Proceedings of the 2023 Asia Conference on Computer Vision, Image Processing and Pattern Recognition
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
CVIPPR '23 | 38 | 14 | 37% |
Overall | 38 | 14 | 37% |