Pattern Recognition and Computer Vision
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part IX
Article
It is necessary to determine the input features and output results when constructing a surrogate model within the data-driven neural network. Since the law of features would be restrained when the surrogate me...
Article
Aiming at the complex background of transmission lines at the present stage, which leads to the problem of low accuracy of insulator fault detection for small targets, a deep learning-based insulator fault det...
Article
Chaos engineering is a popular approach in cloud-native system resilience assessments. It uses fault injection to test if the system is still reliable. For Kubernetes platform, which is widely used for deployi...
Article
Deep learning, as an important topic of artificial intelligence, has been widely applied in various fields, especially in computer vision applications, such as image classification and object detection, which ...
Article
Existing research on music visualization has primarily focused on creating animated visual illustrations to accompany the music being played based on fundamental attributes such as sound frequency or music str...
Article
Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...
Article
Teacher-student interaction (TSI) is the core element and important teaching method of smart classroom. Improving the quality of smart classroom teaching and develo** higher-order thinking (HOT) among studen...
Article
Large-scale Web-based services present opportunities for improving UI policies based on observed user interactions. We address challenges of learning such policies through offline reinforcement learning (RL). ...
Article
We present a new limited environmental information path planning procedure (IEIPPP) that finds collision-free paths without prior knowledge of feasible paths or obstacle locations by analyzing an image set of ...
Article
After a long period of research and development, 2D image object detection technology has been greatly improved in terms of efficiency and accuracy, but it is still a great challenge in dealing with motion blu...
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Taking inspiration from the recent advancements in deep learning within the three-dimensional (3D) domain, we propose an end-to-end deep learning framework to reconstruct 3D shapes in point cloud format from a...
Article
To solve the quantitative problem of slee** activity posture in space-restricted accommodation cabins, a comprehensive assessment model was constructed with ergonomics simulation technology as well as sleepi...
Article
Due to the well-known domain shift problem, directly deploying a trained multi-modal classifier to a new environment usually leads to poor performance. The existing multi-modal domain adaption methods not only...
Article
Global contexts are critical to locating salient objects for salient object detection (SOD). However, the convolution operation in CNNs has a local receptive field, which cannot capture long-distance global in...
Article
Traditional feature detection and description methods, such as scale-invariant feature transform, are susceptible to nonlinear radiation distortions (NRDs) and geometric distortions (GDs), which in turn genera...
Article
Digital technology is profoundly transforming various aspects of life, thus highlighting the need to enhance digital literacy on a national scale. In primary and secondary schools, artificial intelligence (AI)...
Article
Chemical composition analysis, chromatography and spectroscopy are dominate quality evaluation methods for agarwood, which are cumbersome and time-consuming. To facilitate its quality evaluation, a global-to-l...
Article
At present, the research on the teacher-student interaction (TSI) mode in smart classroom (SC) was not in-depth enough, and a few studies mainly focuses on top-down theoretical deduction. This study adopted a ...
Book and Conference Proceedings
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part IX
Book and Conference Proceedings
6th Chinese Conference, PRCV 2023, **amen, China, October 13–15, 2023, Proceedings, Part I