Artificial Neural Networks and Machine Learning ICANN 2019 Image Processing 28th International Conference on Artificial Neural Networks Munich Germany September 17 19 2019 Proceedings Part III 1st Edition by Igor V Tetko, Vera KUrkova, Pavel Karpov, Fabian Theis ISBN 3030305074 9783030305086

Artificial Neural Networks and Machine Learning ICANN 2019 Image Processing 28th International Conference on Artificial Neural Networks Munich Germany September 17 19 2019 Proceedings Part III 1st Edition by Igor V Tetko, Vera KUrkova, Pavel Karpov, Fabian Theis – Ebook PDF Instant Download/Delivery: 3030305074, 9783030305086
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ISBN 10: 3030305074 
ISBN 13: 9783030305086
Author: Igor V Tetko, Vera KUrkova, Pavel Karpov, Fabian Theis

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.  The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

Artificial Neural Networks and Machine Learning ICANN 2019 Image Processing 28th International Conference on Artificial Neural Networks Munich Germany September 17 19 2019 Proceedings Part III 1st Table of contents:

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

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