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Artificial Intelligence : Second CAAI International Conference, CICAI 2022, Beijing, China, August 27-28, 2022, Revised Selected Papers, Part II / edited by Lu Fang, Daniel Povey, Guangtao Zhai, Tao Mei, Ruiping Wang.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Fang, Lu, Editor.
Povey, Daniel., Editor.
Zhai, Guangtao, Editor.
Mei, Tao., Editor.
Wang, Ruiping, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13605
Lecture Notes in Artificial Intelligence, 2945-9141 ; 13605
Language:
English
Subjects (All):
Artificial intelligence.
Application software.
Computers.
Pattern recognition systems.
Computer vision.
User interfaces (Computer systems).
Human-computer interaction.
Artificial Intelligence.
Computer and Information Systems Applications.
Computing Milieux.
Automated Pattern Recognition.
Computer Vision.
User Interfaces and Human Computer Interaction.
Local Subjects:
Artificial Intelligence.
Computer and Information Systems Applications.
Computing Milieux.
Automated Pattern Recognition.
Computer Vision.
User Interfaces and Human Computer Interaction.
Physical Description:
1 online resource (XIX, 645 pages) : 239 illustrations, 216 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
This three-volume set LNCS 13604-13606 constitutes revised selected papers presented at the Second CAAI International Conference on Artificial Intelligence, held in Beijing, China, in August 2022. CICAI is a summit forum in the field of artificial intelligence and the 2022 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 164 papers were thoroughly reviewed and selected from 521 submissions. CICAI aims to establish a global platform for international academic exchange, promote advanced research in AI and its affiliated disciplines such as machine learning, computer vision, natural language, processing, and data mining, amongst others.
Contents:
Compound Label Learning for Affective Image Content Analysis
Weakly Supervised Learning of Instance Segmentation with Confidence Feedback.-Robust Face-Swap Detection Based on 3D Facial Shape Information.-Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation
Tile Defect Detection Based on the Improved S2C-YOLOv5
Human-Object Interaction Detection: A Survey of Deep Learning-based Methods
Change Detection of Flood Hazard Areas in Multi-Source Heterogeneous Earth Observation Image Time Series Based on Spatiotemporal Enhancement Strategy
Reinforcement Learning Based Plug-and-Play Method for Hyperspectral Image Reconstruction
AGFNet: Attention Guided Fusion Network for Camouflaged Object Detection
Spatial-Temporal Contextual Feature Fusion Network for Movie Description
A Transformer-Based Network for Deformable Medical Image Registration.-Context Alignment Network for Video Moment Retrieval
Underwater Object Detection Using Restructured SSD
A Multi-Branch Cascade Transformer Network (MBCT-Net) for Hand Gesture Segmentation in Cluttered Background
Relative Position Relationship Learning Network for Scene Graph Generation
Person Re-Identification Based on CNN with Multi-Scale Contour Embedding
Causal Inference With Sample Balancing for Out-Of-Distribution Detection in Visual Classification
Low-Light Image Enhancement Under Mixed Noise Model With Tensor Representation
Sequential Fusion of Multi-View Video Frames for 3D Scene Generation
Multi-Model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network
Global-View Re-Identification Tracking with Transformer
VERTEX: VEhicle Reconstruction and TEXture Estimation From a Single Image Using Deep Implicit Semantic Template Mapping
TAR-Net: A Triple Attention Residual Network for Power Line Extraction from Infrared Aerial Images
Deep Dynamic-Range Compression of Infrared Video Camera
Saliency Map-Based Local White-Box Adversarial Attack Against Deep Neural Networks
Improving Adversarial Attacks With Ensemble-Based Approaches
Browsing Behavioral Intent Prediction on Product Recommendation Pages of E-Commerce Platform
An Optical Satellite Controller Based on Diffractive Deep Neural Network
Incomplete Cigarette Code Recognition via Unified SPA Features and Graph Space Constraints.
Other Format:
Printed edition:
ISBN:
978-3-031-20500-2
9783031205002
Access Restriction:
Restricted for use by site license.

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