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Pattern Recognition and Computer Vision

Overview of attention for book
Pattern Recognition and Computer Vision
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 An Interpretation of Forward-Propagation and Back-Propagation of DNN
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    Chapter 2 Multi-attention Guided Activation Propagation in CNNs
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    Chapter 3 GAN and DCN Based Multi-step Supervised Learning for Image Semantic Segmentation
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    Chapter 4 Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network
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    Chapter 5 Blind Image Quality Assessment via Deep Recursive Convolutional Network with Skip Connection
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    Chapter 6 Long Term Traffic Flow Prediction Using Residual Net and Deconvolutional Neural Network
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    Chapter 7 Pyramidal Combination of Separable Branches for Deep Short Connected Neural Networks
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    Chapter 8 Feature Visualization Based Stacked Convolutional Neural Network for Human Body Detection in a Depth Image
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    Chapter 9 Convolutional LSTM Based Video Object Detection
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    Chapter 10 Agricultural Question Classification Based on CNN of Cascade Word Vectors
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    Chapter 11 Spatial Invariant Person Search Network
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    Chapter 12 Image Super-Resolution Based on Dense Convolutional Network
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    Chapter 13 A Regression Approach for Robust Gait Periodicity Detection with Deep Convolutional Networks
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    Chapter 14 Predicting Epileptic Seizures from Intracranial EEG Using LSTM-Based Multi-task Learning
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    Chapter 15 Multi-flow Sub-network and Multiple Connections for Single Shot Detection
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    Chapter 16 Consistent Online Multi-object Tracking with Part-Based Deep Network
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    Chapter 17 Deep Supervised Auto-encoder Hashing for Image Retrieval
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    Chapter 18 Accurate Spectral Super-Resolution from Single RGB Image Using Multi-scale CNN
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    Chapter 19 Dynamic Facial Expression Recognition Based on Trained Convolutional Neural Networks
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    Chapter 20 Nuclei Classification Using Dual View CNNs with Multi-crop Module in Histology Images
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    Chapter 21 Multi-level Three-Stream Convolutional Networks for Video-Based Action Recognition
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    Chapter 22 Deep Classification and Segmentation Model for Vessel Extraction in Retinal Images
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    Chapter 23 APNet: Semantic Segmentation for Pelvic MR Image
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    Chapter 24 LSTN: Latent Subspace Transfer Network for Unsupervised Domain Adaptation
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    Chapter 25 Image Registration Based on Patch Matching Using a Novel Convolutional Descriptor
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    Chapter 26 CAFN: The Combination of Atrous and Fractionally Strided Convolutional Neural Networks for Understanding the Densely Crowded Scenes
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    Chapter 27 Video Saliency Detection Using Deep Convolutional Neural Networks
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    Chapter 28 Seagrass Detection in Coastal Water Through Deep Capsule Networks
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    Chapter 29 Deep Gabor Scattering Network for Image Classification
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    Chapter 30 Deep Local Descriptors with Domain Adaptation
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    Chapter 31 Deep Convolutional Neural Network with Mixup for Environmental Sound Classification
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    Chapter 32 Focal Loss for Region Proposal Network
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    Chapter 33 A Shallow ResNet with Layer Enhancement for Image-Based Particle Pollution Estimation
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    Chapter 34 Fully CapsNet for Semantic Segmentation
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    Chapter 35 DeepCoast: Quantifying Seagrass Distribution in Coastal Water Through Deep Capsule Networks
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    Chapter 36 Attention Enhanced ConvNet-RNN for Chinese Vehicle License Plate Recognition
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    Chapter 37 Prohibited Item Detection in Airport X-Ray Security Images via Attention Mechanism Based CNN
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    Chapter 38 A Modified PSRoI Pooling with Spatial Information
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    Chapter 39 A Sparse Substitute for Deconvolution Layers in GANs
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    Chapter 40 Crop Disease Image Classification Based on Transfer Learning with DCNNs
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    Chapter 41 Applying Online Expert Supervision in Deep Actor-Critic Reinforcement Learning
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    Chapter 42 Shot Boundary Detection with Spatial-Temporal Convolutional Neural Networks
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    Chapter 43 Built-Up Area Extraction from Landsat 8 Images Using Convolutional Neural Networks with Massive Automatically Selected Samples
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    Chapter 44 Weighted Graph Classification by Self-Aligned Graph Convolutional Networks Using Self-Generated Structural Features
Attention for Chapter 29: Deep Gabor Scattering Network for Image Classification
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Chapter title
Deep Gabor Scattering Network for Image Classification
Chapter number 29
Book title
Pattern Recognition and Computer Vision
Published by
Springer, Cham, November 2018
DOI 10.1007/978-3-030-03335-4_29
Book ISBNs
978-3-03-003334-7, 978-3-03-003335-4
Authors

Li-Na Wang, Benxiu Liu, Haizhen Wang, Guoqiang Zhong, Junyu Dong, Wang, Li-Na, Liu, Benxiu, Wang, Haizhen, Zhong, Guoqiang, Dong, Junyu

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