11017nam 2200553 450 99646442280331620220713170547.03-030-88010-9(CKB)4950000000283536(MiAaPQ)EBC6789355(Au-PeEL)EBL6789355(OCoLC)1280416465(PPN)258296038(EXLCZ)99495000000028353620220713h20222021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPattern recognition and computer visionPart III 4th Chinese Conference, PRCV 2021, Beijing, China, October 29-November 1, 2021, Proceedings /Huimin Ma [and seven others] (editors)Cham, Switzerland :Springer,2022.©20211 online resource (648 pages)Lecture notes in computer science ;130213-030-88009-5 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents - Part III -- Low-Level Vision and Image Processing -- SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Task Definition -- 3.2 Recurrent Attention Network -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining -- 1 Introduction -- 2 The Proposed Method -- 2.1 Spatial-Temporal Aggregated Architecture -- 2.2 Architecture Search -- 3 Experimental Results -- 3.1 Experiment Preparation -- 3.2 Running Time Evaluation -- 3.3 Quantitative Comparison -- 3.4 Qualitative Comparison -- 3.5 Ablation Study -- 4 Conclusions -- References -- Semantic-Driven Context Aggregation Network for Underwater Image Enhancement -- 1 Introduction -- 2 Method -- 2.1 The Overall Architecture -- 2.2 Semantic Feature Extractor -- 2.3 Multi-scale Feature Transformation Module -- 2.4 Context Aggregation Enhancement Network and Loss Function -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Comparison with the State-of-the-Arts -- 3.3 Ablation Study -- 3.4 Application on Salient Object Detection -- 4 Conclusion -- References -- A Multi-resolution Medical Image Fusion Network with Iterative Back-Projection -- 1 Introduction -- 2 Proposed Approach -- 2.1 Overall Framework -- 2.2 Network Architecture -- 2.3 Loss Function -- 3 Experiments -- 3.1 Dataset and Training Details -- 3.2 Results and Analysis of IBPNet -- 4 Conclusions -- References -- Multi-level Discriminator and Wavelet Loss for Image Inpainting with Large Missing Area -- 1 Introduction -- 2 Related Work -- 2.1 Image Inpainting -- 2.2 Adversarial Training -- 3 Our Approach -- 3.1 Multi-level Discriminator -- 3.2 Wavelet Loss.4 Experiments -- 4.1 Experimental Settings -- 4.2 Performance Evaluation -- 4.3 Ablation Study -- 5 Conclusion -- References -- 3D2Unet: 3D Deformable Unet for Low-Light Video Enhancement -- 1 Introduction -- 2 Related Work -- 2.1 Low-Light Image Enhancement -- 2.2 Low-Light Video Enhancement -- 3 Method -- 3.1 Problem Formulation -- 3.2 Overview of the Pipeline -- 3.3 RSTAB Module -- 3.4 Unet Architecture with Global Projection -- 4 Experiment -- 4.1 Experimental Setting -- 4.2 Comparison with State-of-the-art Methods -- 4.3 Ablation Study -- 5 Conclusion -- References -- Single Image Specular Highlight Removal on Natural Scenes -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Scene Illumination Evaluation -- 3.2 Smooth Feature Extraction -- 3.3 Coefficient Estimation and Highlight Removal -- 4 Experiments -- 4.1 Quantitative Comparison on Laboratory Images -- 4.2 Visual Effect Comparison on Natural Scene Images -- 4.3 Discussion of Important Parameters -- 5 Conclusion -- References -- Document Image Binarization Using Visibility Detection and Point Cloud Segmentation -- 1 Introduction -- 2 TPO(Target-Point Occlusion) -- 2.1 Point Cloud Transformation -- 2.2 Convex Hull -- 3 Algorithm -- 3.1 Binarization -- 3.2 Unshadow Binarization -- 4 Experiment -- 5 Conclusion -- References -- LF-MAGNet: Learning Mutual Attention Guidance of Sub-Aperture Images for Light Field Image Super-Resolution -- 1 Introduction -- 2 Related Work -- 2.1 Light Field Image Super-Resolution -- 2.2 Visual Attention Mechanism -- 3 Proposed Method -- 3.1 Shallow Feature Extraction -- 3.2 Mutual Attention Guidance -- 3.3 LF Image Reconstruction -- 4 Experiment -- 4.1 Dataset and Implementation Details -- 4.2 Ablation Studies -- 4.3 Comparisons with the State-of-The-Arts -- 5 Conclusion -- References.Infrared Small Target Detection Based on Weighted Variation Coefficient Local Contrast Measure -- 1 Introduction -- 2 The Proposed Algorithm -- 2.1 Variation Coefficient Local Contrast Measure -- 2.2 Weighted Variation Coefficient Local Contrast Measure -- 2.3 Target Detection -- 3 Experimental Results -- 3.1 Enhancement Performance Comparison -- 3.2 Detection Performance Comparison -- 4 Conclusion -- References -- Scale-Aware Distillation Network for Lightweight Image Super-Resolution -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Network Architecture -- 3.2 Scale-Aware Distillation Block -- 3.3 Comparisons with Other Information Distillation Methods -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Ablation Study -- 4.3 Comparisons with the State-of-the-Arts -- 5 Conclusion -- References -- Deep Multi-Illumination Fusion for Low-Light Image Enhancement -- 1 Introduction -- 2 Deep Multi-Illumination Fusion -- 2.1 Network Structure -- 2.2 Loss Function -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 Performance Evaluation -- 3.3 Ablation Analysis -- 3.4 Object Instance Segmentation -- 4 Conclusion -- References -- Relational Attention with Textual Enhanced Transformer for Image Captioning -- 1 Introduction -- 2 Related Work -- 2.1 Relationship Exploration -- 2.2 Transformer Architecture -- 3 The Proposed Approach -- 3.1 Relation Module -- 3.2 Attention Module -- 3.3 Decoder Module -- 3.4 Training and Objectives -- 4 Experiments -- 4.1 Datasets and Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Ablation Study -- 4.4 Comparison with State-of-the-Art -- 5 Conclusion -- References -- Non-local Network Routing for Perceptual Image Super-Resolution -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Non-local Network Routing -- 3.2 Model Learning -- 4 Experiments -- 4.1 Evaluation Dataset and Metric.4.2 Implementation Details -- 4.3 Derived Architecture -- 4.4 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Multi-focus Image Fusion with Cooperative Image Multiscale Decomposition -- 1 Introduction -- 2 Cooperative Image Multiscale Decomposition Based MGF -- 2.1 Mutually Guided Filter -- 2.2 Cooperative Image Multiscale Decomposition -- 3 Image Fusion with CIMD -- 3.1 Base Layers Fusion -- 3.2 Detailed Layers Fusion -- 3.3 Reconstruction -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Comparison to Classical Fusion Method -- 5 Conclusions -- References -- An Enhanced Multi-frequency Learned Image Compression Method -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Formulation of Multi-frequency Learned Compression Models -- 3.2 Channel Attention Scheme -- 3.3 Decoder-Side Enhancement -- 4 Experiment Results -- 4.1 Parameter Description -- 4.2 Results Evaluation -- 5 Conclusion -- References -- Noise Map Guided Inpainting Network for Low-Light Image Enhancement -- 1 Introduction -- 2 Related Works -- 2.1 Low-Light Image Enhancement -- 2.2 Image Inpainting -- 3 Method -- 3.1 Stage I: Decomposition -- 3.2 Stage II: Restoration -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Results and Analysis -- 4.3 Ablation Study -- 5 Conclusion -- References -- FIE-GAN: Illumination Enhancement Network for Face Recognition -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Architecture -- 3.2 Loss Function -- 3.3 Deployment in Face Recognition -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Visual Perception Results -- 4.3 Face Recognition Results -- 4.4 Ablation Study -- 5 Conclusion -- References -- Illumination-Aware Image Quality Assessment for Enhanced Low-Light Image -- 1 Introduction -- 2 Illumination-Aware Quality Assessment of Enhanced Low-Light Image -- 2.1 Intrinsic Decomposition Module.2.2 CNN-based Feature Extraction Module -- 2.3 Learnable Perceptual Distance Measurement -- 3 Experiments -- 3.1 Basic Evaluations -- 3.2 Evaluations of LIE-IQA with Related Methods -- 3.3 LIE-IQA for Low-Light Enhancement -- 4 Conclusion -- References -- Smooth Coupled Tucker Decomposition for Hyperspectral Image Super-Resolution -- 1 Introduction -- 2 Tensor Notations and Preliminaries -- 3 Problem Formulation -- 3.1 Problem Description and Degradation Model -- 3.2 MAP Formulation -- 3.3 Smooth Coupled Tucker Decomposition Model -- 3.4 Optimization -- 4 Experimental Results -- 4.1 Experimental Settings and Implementation Issues -- 4.2 Experimental Results -- 4.3 Choice of Model Order -- 5 Conclusion -- 1. References -- Self-Supervised Video Super-Resolution by Spatial Constraint and Temporal Fusion -- 1 Introduction -- 2 Related Work -- 2.1 SISR -- 2.2 VSR -- 3 Methodology -- 3.1 Overview -- 3.2 Internal-Data Based VSR -- 3.3 Spatio-Temporal VSR -- 4 Experiments -- 4.1 Protocols -- 4.2 Real-World Testing -- 4.3 Ablation Study -- 5 Conclusion -- References -- ODE-Inspired Image Denoiser: An End-to-End Dynamical Denoising Network -- 1 Introduction -- 2 Related Work -- 2.1 Image Denoising with CNN -- 2.2 Neural ODEs V.S. Residual Learning -- 3 Proposed Method -- 3.1 Network Architecture -- 3.2 Problem Formulation -- 3.3 OI-Block -- 4 Experiments -- 4.1 Ablation Study -- 4.2 Synthetic Noisy Images -- 4.3 Real Noisy Images -- 5 Conclusion -- References -- Image Outpainting with Depth Assistance -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Framework Design -- 3.2 Training -- 4 Experiment -- 4.1 Dataset -- 4.2 Quantitative Evaluation -- 4.3 Qualitative Evaluation -- 4.4 Comparison of Depth Feature Extraction Solutions -- 5 Conclusion -- References -- Light-Weight Multi-channel Aggregation Network for Image Super-Resolution -- 1 Introduction.2 Proposed Method.Lecture notes in computer science ;13021.Pattern recognition systemsCongressesComputer visionCongressesComputer visionPattern recognition systemsComputer visionComputer vision.006.4Ma HuiminMiAaPQMiAaPQMiAaPQBOOK996464422803316Pattern recognition and computer vision1972598UNISA03163nam 2200661 450 991078747200332120200520144314.00-8131-5863-X(CKB)3710000000334211(EBL)1915386(SSID)ssj0001401483(PQKBManifestationID)12595865(PQKBTitleCode)TC0001401483(PQKBWorkID)11349935(PQKB)10925477(OCoLC)645006481(MdBmJHUP)muse44002(Au-PeEL)EBL1915386(CaPaEBR)ebr11009662(CaONFJC)MIL690952(OCoLC)900344408(MiAaPQ)EBC1915386(EXLCZ)99371000000033421120150205h19901990 uy 0engurcnu||||||||txtccrBicycles, bangs, and bloomers the new woman in the popular press /Patricia MarksLexington, Kentucky :The University Press of Kentucky,1990.©19901 online resource (236 p.)Includes index.1-322-59670-0 0-8131-1704-6 Includes bibliographical references and index.Cover; Half-title; Title; Copyright; Dedication; Contents; List of Illustrations; Preface; Introduction: Queen Victoria's Granddaughter; 1. Women and Marriage: ""Running in Blinkers""; 2. Women's Work: More ""Bloomin' Bad Bizness""; 3. Women's Education: ""Maddest Folly Going""; 4. Women's Clubs: ""Girls Will Be Girls""; 5. Women's Fashions: The Shape of Things to Come; 6. Women's Athletics: A Bicycle Built for One; Conclusion: The New Woman; Works Cited; IndexThe so-called ""New Woman"" -- that determined and free-wheeling figure in ""rational"" dress, demanding education, suffrage, and a career-was a frequent target for humorists in the popular press of the late nineteenth century. She invariably stood in contrast to the ""womanly woman,"" a traditional figure bound to domestic concerns and a stereotype away from which many women were inexorably moving.Patricia Marks's book, based on a survey of satires and caricatures drawn from British and American periodicals of the 1880's and 1890's, places the popular view of the New Woman in the context of theWomenPress coverageUnited StatesHistory19th centuryWomenPress coverageGreat BritainHistory19th centuryWomen's rightsUnited StatesHistory19th centuryWomen's rightsGreat BritainHistory19th centuryFeminismUnited StatesHistory19th centuryWomenPress coverageHistoryWomenPress coverageHistoryWomen's rightsHistoryWomen's rightsHistoryFeminismHistory071/.3/082Marks Patricia1943-1492941MiAaPQMiAaPQMiAaPQBOOK9910787472003321Bicycles, bangs, and bloomers3715726UNINA