Titlebook: Image and Graphics Technologies and Applications; 18th Chinese Confere Wang Yongtian,Wu Lifang Conference proceedings 2023 The Editor(s) (i

无思维能力

变白

Visualization Research on Industry and Spatial Distribution of Industrial Heritage in New China methods such as kernel density analysis diagram, point distribution diagram, pie chart, and chord diagram, a macroscopic analysis of the industrial heritage of New China is carried out from the perspectives of overall and regional research. The results show that the industrial heritage of New China

CLOT

SCGTS: Semantic Content Guiding Teacher-Student Network for Group Activity Recognitionined individual labels during training or testing, which is impractical and lacks intelligence. Moreover, they only consider visual features and ignore corresponding semantic information. To address these issues, a Semantic Content Guiding Teacher-Student (SCGTS) network is developed. SCGTS depends

Dorsal-Kyphosis

红润

CPML: Category Probability Mask Learning for Fine-Grained Visual Classificationts, which thus inspires many part-based methods. Different from attention-based methods and other part-based methods, we propose a novel Category Probability Mask Learning (CPML) module to discover nuanced local differences and mitigate cluttered backgrounds. Meanwhile, the CPML is a simple and effi

制造

贫穷地活

A Optical Flow-Based Fight Behavior Detection Method for Campus Scene be watched by people, and it is impossible to realize the automatic early warning of some dangerous situations. In this paper, a video-based action detection method is proposed for high-frequency student fight on campus, which uses an optical flow algorithm to perform coarse positioning of the area

完全

Attention-Guided Neural Network for Face Mask Detection the virus. Therefore, detecting mask-wearing efficiently and accurately is essential for people’s physical health and safety. In this paper, we present a novel one-stage mask detection method, named attention-guided neural network (AGNN) that can efficiently detect non-mask-wearing faces in public.

FOVEA

MIR