LEADER 11022nam 2200505 450 001 996464513703316 005 20220627191254.0 010 $a3-030-87355-2 035 $a(CKB)4100000012037947 035 $a(MiAaPQ)EBC6737962 035 $a(Au-PeEL)EBL6737962 035 $a(OCoLC)1272994269 035 $a(PPN)258051787 035 $a(EXLCZ)994100000012037947 100 $a20220627d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aImage and graphics$hPart I $e11th International Conference, ICIG 2021, Haikou, China, August 6-8, 2021, proceedings /$fYuxin Peng [and five others], editors 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (830 pages) 225 1 $aLecture notes in computer science : image processing, computer vision, pattern recognition, and graphics ;$vVolume 12888 311 $a3-030-87354-4 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Object Detection and Recognition -- L2-CVAEGAN: Feature Aligned Generative Networks for Zero-Shot Learning -- 1 Introduction -- 2 Related Work -- 2.1 Zero-Shot Learning -- 2.2 Generative Models -- 3 Methodology -- 3.1 Setup -- 3.2 Model Overview -- 3.3 Our Proposed Method -- 3.4 Evaluation Protocol -- 4 Experiments -- 4.1 Settings -- 4.2 Comparing with Different Methods -- 4.3 Visualization and Analyzing -- 4.4 Generalized Zero-Shot Learning -- 4.5 Effect of Semantic Combination -- 5 Conclusion -- References -- HQ-Trans: A High-Quality Screening Based Image Translation Framework for Unsupervised Cross-Domain Pedestrian Detection -- 1 Introduction -- 2 Related Work -- 2.1 Image Translation -- 2.2 Object Detection -- 2.3 Unsupervised Pedestrian Detection -- 3 Method -- 3.1 The First Screening -- 3.2 Scene Translation -- 3.3 The Second Screening -- 3.4 Pedestrian Detector -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Experimental Results and Analysis -- 4.3 Comparisons with Other Works -- 5 Conclusion -- References -- FER-YOLO: Detection and Classification Based on Facial Expressions -- 1 Introduction -- 2 Methodology -- 2.1 Model Architecture -- 2.2 Channel Attention -- 2.3 Depth-Wise Separable Convolution -- 3 Experimental Results and Analysis -- 3.1 Implementation Details -- 3.2 Ablation Experiments -- 3.3 Comparisons with State-of the Art Methods -- 3.4 Real-Time Facial Expression Detection via Camera -- 4 Conclusion -- References -- MSC-Fuse: An Unsupervised Multi-scale Convolutional Fusion Framework for Infrared and Visible Image -- 1 Introduction -- 2 Proposed Fusion Method -- 2.1 Network Architecture -- 2.2 The Basic Convolution Blocks -- 2.3 Loss Function -- 3 Experimental Results -- 3.1 Experimental Environment and Parameter Setting. 327 $a3.2 Ablation Study -- 3.3 Compared with Other Methods -- 4 Conclusions -- References -- Relation-Aware Reasoning with Graph Convolutional Network -- 1 Introduction -- 2 Related Works -- 2.1 Knowledge Graph Based Methods -- 2.2 Relational Reasoning -- 3 Proposed Framework -- 3.1 Knowledge Graph Construction -- 3.2 GCN for Visual Reasoning -- 3.3 Implementation Details -- 4 Experiments -- 4.1 Datasets and Evaluation -- 4.2 Experimental Results -- 4.3 Ablation Study -- 5 Conclusion -- References -- Feature Separation GAN for Cross View Gait Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Generative Adversarial Networks -- 2.2 Generative Method for Gait Recognition -- 2.3 Gait Energy Image -- 3 Proposed Method -- 3.1 Network Structure -- 3.2 Separation Features -- 3.3 Constraint Block -- 3.4 Generator Optimizing -- 4 Experiment Result -- 4.1 Data Set -- 4.2 Implementation Details -- 4.3 Experimental Result -- 5 Conclusion -- References -- Global Feature Polishing Network for Glass-Like Object Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Overview -- 3.2 Global Perception Module -- 3.3 Multi-scale Refinement Module -- 3.4 Global Feature Polishing Module -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparisons with SOTAs -- 4.3 Ablation Analysis -- 5 Conclusion -- References -- Imitating What You Need: An Adaptive Framework for Detector Distillation -- 1 Introduction -- 2 Related Works -- 2.1 Object Detection -- 2.2 Knowledge Distillation -- 3 Method -- 3.1 Network Overview -- 3.2 Backbone Features -- 3.3 Classification Head -- 3.4 Bounding Box Regression Head -- 3.5 Adaptive Distillation Decay -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Ablation Study -- 4.3 Experimental Results -- 4.4 Comparison with Previous Distillation Methods -- 5 Conclusion -- References. 327 $aFine-Grained Classification of Neutrophils with Hybrid Loss -- 1 Introduction -- 2 Related Work -- 2.1 Generic Object Detection -- 2.2 Fined-Grained Visual Classification -- 2.3 Face Recognition -- 3 Methods -- 3.1 Single Cell Detection -- 3.2 EfficientNet Backbone -- 3.3 Loss Functions -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Ablation Study -- 4.3 Evaluation Results -- 5 Conclusions -- References -- Open-Set Product Authentication Based on Deep Texture Verification -- 1 Introduction -- 2 The Proposed Texture Authentication Framework -- 3 Datasets and Experimental Results -- 3.1 Texture Datasets -- 3.2 Experimental Results -- 4 Conclusion -- References -- Moving Object Detection Based on Self-adaptive Contour Extraction -- 1 Introduction -- 2 Methods -- 2.1 Framework Description -- 2.2 Contour Extraction -- 2.3 Region Proposal Network -- 3 Simulation Experiments -- 3.1 Dataset and Environmental Settings -- 3.2 Results and Analysis -- 4 Conclusion -- References -- Small Infrared Aerial Target Detection Using Spatial and Temporal Cues -- 1 Introduction -- 2 Related Works -- 2.1 Single Frame Based Methods -- 2.2 Multiple Frames Abased Methods -- 3 Small Infrared Aerial Target Detection using Spatial and Temporal Cues -- 3.1 Target Candidate Detection for Each Frame -- 3.2 Target Detection Using Trajectory Constraints -- 4 Experiments -- 4.1 Experimental Settings -- 4.2 Target Detection from Image Sequence -- 5 Conclusions -- References -- Boundary Information Aggregation and Adaptive Keypoint Combination Enhanced Object Detection -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Overview of BANet -- 3.2 Boundary Information Aggregation -- 3.3 Adaptive Keypoint Combination -- 4 Experiments -- 4.1 Comparisons with Other One-Stage Object Detectors -- 4.2 Ablation Study and Error Analyse -- 4.3 Visualization of Detection Results. 327 $a5 Conclusions -- References -- Accurate Oriented Instance Segmentation in Aerial Images -- 1 Introduction -- 2 Relate Work -- 2.1 Object Detection -- 2.2 Instance Segmentation -- 3 Method -- 3.1 Detection Network -- 3.2 Segmentation Network -- 4 Experiments -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Ablation Study -- 4.4 Comparison with State-of-the-Art Methods -- 5 Conclusion -- References -- Six-Channel Image Representation for Cross-Domain Object Detection -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Image-to-Image Translation -- 3.2 CNN Models -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Evaluations -- 4.3 Experimental Results -- 5 Conclusion -- References -- Skeleton-Aware Network for Aircraft Landmark Detection -- 1 Introduction -- 2 Skeleton-Aware Landmark Detection Network -- 2.1 Global Geometrical Structure -- 2.2 Local Landmark Localization -- 2.3 Effectiveness of the Global Skeleton Structure -- 2.4 Implementation Detail -- 3 Experiments -- 4 Conclusions -- References -- Efficient Spectral Pyramid and Spectral-Spatial Feature Interactive Hyperspectral Image Classification -- 1 Introduction -- 2 Related Works -- 3 Proposed Network -- 3.1 Effective Spatial Extraction Based Interacted Network -- 3.2 Efficient Spectral Pyramid Module -- 3.3 Spectral-Spatial Feature Interaction Module -- 4 Experiment Setup -- 4.1 Experimental Datasets -- 4.2 Competing Methods -- 4.3 Parameter Setting -- 5 Classification Result -- 6 Ablation Analysis -- 6.1 Impact of the ESP Module -- 6.2 Impact of the Improved SSI Module -- 7 Conclusions -- References -- Semi-supervised Cloud Edge Collaborative Power Transmission Line Insulator Anomaly Detection Framework -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Insulator Detection on the Edge Device -- 3.2 Defect Recognition on the Cloud Server -- 4 Experiments. 327 $a4.1 Implementation Detail -- 4.2 Experiment Results -- 5 Conclusion -- References -- Illumination-Enhanced Crowd Counting Based on IC-Net in Low Lighting Conditions -- 1 Introduction -- 2 Related Work -- 2.1 Crowd Counting Based on Deep Learning -- 2.2 Crowd Counting Methods for Low Lighting Scenes -- 3 The Proposed IC-Net for Crowd Counting -- 3.1 Illumination Fusion Module (IFM) -- 3.2 Feature Cascading Module (FCM) -- 4 Experiments -- 4.1 Evaluation Metrics -- 4.2 Models' Performances with the Illumination Enhanced Image -- 4.3 Ablation Studies -- 5 Conclusion -- References -- An Open-Source Library of 2D-GMM-HMM Based on Kaldi Toolkit and Its Application to Handwritten Chinese Character Recognition -- 1 Introduction -- 2 Implement of 2D-HMM Based on Kaldi -- 2.1 Mathematical Formulation -- 2.2 Feature Extraction -- 2.3 Training Process -- 2.4 Testing Process -- 2.5 Implementation Details with Kaldi -- 3 Experiments -- 3.1 Task Description -- 3.2 Experimental Setup -- 3.3 Result Analysis -- 4 Conclusion -- References -- Automatic Leaf Diseases Detection System Based on Multi-stage Recognition -- 1 Introduction -- 2 Related Work -- 3 Network Construction Scheme:YOLOv4-Tiny + SEI-ResNet -- 3.1 YOLOv4-Tiny: A Fast Method to Remove Redundant Background -- 3.2 SEI-ResNet -- 3.3 Network Training -- 4 Experimental Results -- 4.1 Automatic Leaf Diseases Detection(ALDD) Network Positioning Test -- 4.2 ALDD Network Ablation Test -- 4.3 ALDD Network Classification Test -- 4.4 ALDD System Test -- 5 Conclusion -- References -- Aerial Image Object Detection Based on Superpixel-Related Patch -- 1 Introduction -- 2 Related Work -- 2.1 Superpixel Segmentation -- 2.2 Oriented Object Detection -- 3 Method -- 3.1 Cutting Aerial Image into Image Patches Based on Superpixel -- 3.2 Oriented Object Detection Based on YOLOv5 -- 4 Experiments -- 4.1 Dateset. 327 $a4.2 Superpixel Segmentation Comparison Experiments. 410 0$aLNCS sublibrary.$nSL 6,$pImage processing, computer vision, pattern recognition, and graphics ;$vVolume 12888. 606 $aImage processing$xDigital techniques$vCongresses 615 0$aImage processing$xDigital techniques 676 $a621.367 702 $aPeng$b Yuxin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464513703316 996 $aImage and Graphics$92504630 997 $aUNISA LEADER 03507nam 2200757 a 450 001 9910959997603321 005 20230323190451.0 010 $a9780674042650 010 $a0674042654 024 7 $a10.4159/9780674042650 035 $a(CKB)2550000000017456 035 $a(OCoLC)648279053 035 $a(CaPaEBR)ebrary10402510 035 $a(SSID)ssj0000473133 035 $a(PQKBManifestationID)12187220 035 $a(PQKBTitleCode)TC0000473133 035 $a(PQKBWorkID)10435953 035 $a(PQKB)10787612 035 $a(MiAaPQ)EBC3300846 035 $a(Au-PeEL)EBL3300846 035 $a(CaPaEBR)ebr10402510 035 $a(OCoLC)744545531 035 $a(DE-B1597)574437 035 $a(DE-B1597)9780674042650 035 $a(Perlego)1132862 035 $a(EXLCZ)992550000000017456 100 $a20100825d2010 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe showman and the slave $erace, death, and memory in Barnum's America /$fBenjamin Reiss 205 $a1st Harvard University Press pbk. ed. 210 $aCambridge, Mass. $cHarvard University Press$d2010 215 $a1 online resource (280 p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9780674006362 311 08$a0674006364 320 $aIncludes bibliographical references (p. [227]-259) and index. 327 $tFrontmatter --$tCONTENTS --$tFIGURES --$tAckrunvZedgments --$tIntroduction: The Dark Subject --$t1. DEATH AND DYING --$t1. Possession --$t2. The Celebrated Curiosity --$t3. Private Acts, Public Memories --$t4. Sacred and Profane --$t5. Culture Wars --$t6. Love, Automata, and India Rubber --$t7. Spectacle --$tII. RESURRECTION --$t8. Authenticity and Commodity --$t9. Exposure and Mastery --$t10. Erasure --$tIII. LIFE --$t11. A Speculative Biography --$tNote to the 2010 Printing --$tNotes --$tIndex 330 $aReiss uses P. T. Barnum's Joice Heth hoax to examine the contours of race relations in the antebellum North. Barnum's first exhibit as a showman, Heth was an elderly enslaved woman said to be the 161-year-old former nurse of the infant George Washington. Seizing upon the novelty, the newly emerging commercial press turned her act--and especially her death--into one of the first media spectacles in American history. 606 $aPopular culture$zUnited States$xHistory$y19th century 606 $aEnslaved women$zUnited States$vBiography 606 $aFreak shows$xSocial aspects$zUnited States$xHistory$y19th century 606 $aWhite people$xRace identity$zUnited States 606 $aAfrican Americans in popular culture$xHistory$y19th century 606 $aRacism in popular culture$zUnited States$xHistory$y19th century 606 $aDeath in popular culture$zUnited States$xHistory$y19th century 607 $aNortheastern States$xRace relations 615 0$aPopular culture$xHistory 615 0$aEnslaved women 615 0$aFreak shows$xSocial aspects$xHistory 615 0$aWhite people$xRace identity 615 0$aAfrican Americans in popular culture$xHistory 615 0$aRacism in popular culture$xHistory 615 0$aDeath in popular culture$xHistory 676 $a306/.0973/09034 700 $aReiss$b Benjamin$01814900 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910959997603321 996 $aThe showman and the slave$94369096 997 $aUNINA