Pattern Recognition and Computer Vision: 6th Chinese Conference, Prcv 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV

ISBN-13: 9789819984619 / Angielski

Qingshan Liu; Hanzi Wang; Zhanyu Ma

Spis treści

Shared Nearest Neighbor Calibration For Few-Shot Classification.- Prototype Rectification with Region-Wise Foreground Enhancement for Few-Shot Classification.- Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis.-  Nonconvex Tensor Hypergraph Learning for Multi-view Subspace Clustering.-  A Novel Method for Identifying Bipolar Disorder based on Diagnostic Texts.-  Deep Depression Detection based on Feature Fusion and Result Fusion.-  Adaptive Cluster Assignment for Unsupervised Semantic Segmentation.- Confidence-Guided Open-World Semi-Supervised Learning.- SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection.- One Step Large-scale Multi-view Subspace Clustering based on Orthogonal Matrix Factorization with Consensus Graph Learning.- Deep Multi-Task Image Clustering with Attention-guided Patch Filtering and Correlation Mining.- Deep Structure and Attention Aware Subspace Clustering.- Broaden Your Positives: A General Rectification Approach for Novel Class Discovery.- CE2: A Copula Entropic Mutual Information Estimator for Enhancing Adversarial Robustness.- Two-step projection of sparse discrimination between classes for unsupervised domain adaptation.- Enhancing Adversarial Robustness via Stochastic Robust Framework.- Pseudo Labels Refinement with Stable Cluster Reconstruction for Unsupervised Re Identification.- Ranking Variance Reduced Ensemble Attack with Dual Optimization Surrogate Search.- PCR: A Large-Scale Benchmark for Pig Counting in Real World.- A Hierarchical Theme Recognition Model for Sandplay Therapy.- Change-Aware Network for Damaged Roads Recognition and Assessment Based on Multi-temporal Remote Sensing Imageries.- UAM-Net: An Attention-Based Multi-Level Feature Fusion UNet for Remote Sensing Image Segmentation.- Improved Conditional Generative Adversarial Networks for SAR-to-Optical Image Translation.- A Novel Cross Frequency-domain Interaction Learning for Aerial Oriented Object Detection.- DBDAN: Dual-Branch Dynamic Attention Network for Semantic Segmentation of Remote Sensing Images.- Multi-scale Contrastive Learning  for Building Change Detection in Remote Sensing Images

Shadow Detection of Remote Sensing Image by Fusion of Involution and Shunted Transformer.- Few-shot Infrared Image Classification with Partial Concept Feature.- AGST-LSTM: The ConvLSTM model combines attention and gate structure for spatiotemporal sequence prediction learning.- A Shape-based Quadrangle Detector for Aerial Images.- End-to-end Unsupervised Style and Resolution Transfer Adaptation Segmentation Model for Remote Sensing Images

A physically feasible counter-attack method for remote sensing imaging point clouds.- Adversarial Robustness via Multi-experts framework for SAR recognition with Class Imbalanced.- Recognizer Embedding Diffusion Generation for Few-shot SAR Recognization.- A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification

SAR Image Authentic Assessment with Bayesian Deep Learning and Counterfactual Explanations.- Circle Representation Network for Specific Target Detection in Remote Sensing Image.- A Transformer-Based Adaptive Semantic Aggregation Method for UAV Visual Geo-Localization.- Lightweight Multiview Mask Contrastive Network for Small-sample Hyperspectral Image Classification.- Dim moving target detection based on imaging uncertainty analysis and hybrid entropy