Pattern Recognition and Computer Vision Third Chinese Conference PRCV 2020 Nanjing China October 16 18 2020 Proceedings Part III Yuxin Peng 3030606368 9783030606367

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Product details:

• ISBN 10: 3030606368
• ISBN 13: 9783030606367
• Author: Yuxin Peng

The three-volume set LNCS 12305, 12306, and 12307 constitutes the refereed proceedings of the Third Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020, held virtually in Nanjing, China, in October 2020. The 158 full papers presented were carefully reviewed and selected from 402 submissions. The papers have been organized in the following topical sections: Part I: Computer Vision and Application, Part II: Pattern Recognition and Application, Part III: Machine Learning.

Table of contents:

Learning Diverse Features with Part-Level Resolution for Person Re-identification

Open Set Domain Adaptation with Entropy Minimization

An Adversarial Learned Trajectory Predictor with Knowledge-Rich Latent Variables

Top-Down Fusing Multi-level Contextual Features for Salient Object Detection

Path Aggregation and Dual Supervision Network for Scene Text Detection

Semantic Inpainting with Multi-dimensional Adversarial Network and Wasserstein Distance

Interpretable Neural Computation for Real-World Compositional Visual Question Answering

Attention-Based Network for Semantic Image Segmentation via Adversarial Learning

Efficient Single Shot Object Detector Towards More Accurate and Faster Prediction

Student Performance Prediction Based on Multi-view Network Embedding

Hierarchical Matching and Reasoning for Action Localization via Language Query

Semi-supervised Uncertain Linear Discriminant Analysis

Adaptive Attributed Network Embedding for Community Detection

Single-View 3D Shape Reconstruction with Learned Gradient Descent

Joint Self-expression with Adaptive Graph for Unsupervised Feature Selection

Fast Hyper-walk Gridded Convolution on Graph

UDenseNet: A Universal Dense Convolutional Network for Image Recognition

End-to-End Blurry Template Matching Method Based on Siamese Networks

Training Wide Residual Hashing from Scratch

H-AT: Hybrid Attention Transfer for Knowledge Distillation

Cross-Domain Disentangle Network for Image Manipulation

Multi-metric Joint Discrimination Network for Few-Shot Classification

LG-VTON: Fashion Landmark Meets Image-Based Virtual Try-On

Deep Dependency Network for Multi-label Text Classification

Soft-Root-Sign: A New Bounded Neural Activation Function

A Multi-level Equilibrium Clustering Approach for Unsupervised Person Re-identification

Deep Relevance Feature Clustering for Discovering Visual Representation of Tourism Destination

Balanced Loss for Accurate Object Detection

Nuclear-Norm-Based Jointly Sparse Regression for Two-Dimensional Image Regression

Dynamically-Passed Contextual Information Network for Saliency Detection

MS-DRDNet: Optimization-Inspired Deep Compressive Sensing Network for MRI

Canonical Correlation Cross-Domain Alignment for Unsupervised Domain Adaptation

LSAM: Local Spatial Attention Module

Pruning Deep Convolutional Neural Networks via Gradient Support Pursuit

Synthesizing Large-Scale Datasets for License Plate Detection and Recognition in the Wild

Large-Scale Network Representation Learning Based on Improved Louvain Algorithm and Deep Autoencoder

Clinical Pathway Optimal Scheduling Based on Hybrid Intelligent Optimization Algorithm

Gradient Analysis of Loss Function Based on System Balance

TeeRNN: A Three-Way RNN Through Both Time and Feature for Speech Separation

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