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Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing

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Table of Contents

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    Book Overview
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    Chapter 1 Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification
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    Chapter 2 Distortion Estimation Through Explicit Modeling of the Refractive Surface
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    Chapter 3 Eye Movement-Based Analysis on Methodologies and Efficiency in the Process of Image Noise Evaluation
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    Chapter 4 IBDNet: Lightweight Network for On-orbit Image Blind Denoising
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    Chapter 5 Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification
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    Chapter 6 Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout
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    Chapter 7 An Improved Convolutional Neural Network for Steganalysis in the Scenario of Reuse of the Stego-Key
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    Chapter 8 A New Learning-Based One Shot Detection Framework for Natural Images
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    Chapter 9 Dense Receptive Field Network: A Backbone Network for Object Detection
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    Chapter 10 Referring Expression Comprehension via Co-attention and Visual Context
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    Chapter 11 Comparison Between U-Net and U-ReNet Models in OCR Tasks
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    Chapter 12 Severe Convective Weather Classification in Remote Sensing Images by Semantic Segmentation
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    Chapter 13 Action Recognition Based on Divide-and-Conquer
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    Chapter 14 An Adaptive Feature Channel Weighting Scheme for Correlation Tracking
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    Chapter 15 In-Silico Staining from Bright-Field and Fluorescent Images Using Deep Learning
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    Chapter 16 A Lightweight Neural Network for Hard Exudate Segmentation of Fundus Image
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    Chapter 17 Attentional Residual Dense Factorized Network for Real-Time Semantic Segmentation
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    Chapter 18 Random Drop Loss for Tiny Object Segmentation: Application to Lesion Segmentation in Fundus Images
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    Chapter 19 Flow2Seg: Motion-Aided Semantic Segmentation
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    Chapter 20 COCO_TS Dataset: Pixel–Level Annotations Based on Weak Supervision for Scene Text Segmentation
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    Chapter 21 Learning Deep Structured Multi-scale Features for Crisp and Object Occlusion Edge Detection
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    Chapter 22 Graph-Boosted Attentive Network for Semantic Body Parsing
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    Chapter 23 A Global-Local Architecture Constrained by Multiple Attributes for Person Re-identification
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    Chapter 24 Recurrent Connections Aid Occluded Object Recognition by Discounting Occluders
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    Chapter 25 Learning Relational-Structural Networks for Robust Face Alignment
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    Chapter 26 An Efficient 3D-NAS Method for Video-Based Gesture Recognition
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    Chapter 27 Robustness of Deep LSTM Networks in Freehand Gesture Recognition
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    Chapter 28 Delving into the Impact of Saliency Detector: A GeminiNet for Accurate Saliency Detection
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    Chapter 29 FCN Salient Object Detection Using Region Cropping
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    Chapter 30 Object-Level Salience Detection by Progressively Enhanced Network
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    Chapter 31 Action Unit Assisted Facial Expression Recognition
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    Chapter 32 Discriminative Feature Learning Using Two-Stage Training Strategy for Facial Expression Recognition
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    Chapter 33 Action Units Classification Using ClusWiSARD
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    Chapter 34 Automatic Estimation of Dog Age: The DogAge Dataset and Challenge
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    Chapter 35 Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality
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    Chapter 36 Variational Deep Embedding with Regularized Student-t Mixture Model
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    Chapter 37 A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach
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    Chapter 38 Analysis of Dogs’ Sleep Patterns Using Convolutional Neural Networks
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    Chapter 39 On the Inability of Markov Models to Capture Criticality in Human Mobility
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    Chapter 40 LSTM with Uniqueness Attention for Human Activity Recognition
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    Chapter 41 Comparative Research on SOM with Torus and Sphere Topologies for Peculiarity Classification of Flat Finishing Skill Training
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    Chapter 42 Generative Creativity: Adversarial Learning for Bionic Design
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    Chapter 43 Self-attention StarGAN for Multi-domain Image-to-Image Translation
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    Chapter 44 Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic
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    Chapter 45 Constraint-Based Visual Generation
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    Chapter 46 Text to Image Synthesis Based on Multiple Discrimination
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    Chapter 47 Disentangling Latent Factors of Variational Auto-encoder with Whitening
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    Chapter 48 Training Discriminative Models to Evaluate Generative Ones
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    Chapter 49 Scene Graph Generation via Convolutional Message Passing and Class-Aware Memory Embeddings
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    Chapter 50 Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders
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    Chapter 51 Physical Adversarial Attacks by Projecting Perturbations
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    Chapter 52 Improved Forward-Backward Propagation to Generate Adversarial Examples
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    Chapter 53 Incremental Learning of GAN for Detecting Multiple Adversarial Attacks
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    Chapter 54 Evaluating Defensive Distillation for Defending Text Processing Neural Networks Against Adversarial Examples
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    Chapter 55 DCT: Differential Combination Testing of Deep Learning Systems
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    Chapter 56 Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection
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    Chapter 57 HLR: Generating Adversarial Examples by High-Level Representations
Attention for Chapter 30: Object-Level Salience Detection by Progressively Enhanced Network
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Chapter title
Object-Level Salience Detection by Progressively Enhanced Network
Chapter number 30
Book title
Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-30508-6_30
Book ISBNs
978-3-03-030507-9, 978-3-03-030508-6
Authors

Wang Yuan, Haichuan Song, Xin Tan, Chengwei Chen, Shouhong Ding, Lizhuang Ma, Yuan, Wang, Song, Haichuan, Tan, Xin, Chen, Chengwei, Ding, Shouhong, Ma, Lizhuang

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%