Full Description
The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1-5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics.
Contents
DeepEMD: A Transformer-based Fast Estimation of the Earth Mover's Distance.- Equivariant Neural Networks for TEM Virus Images Improves Data Efficiency.- AI Based Story Generation.- Deep learning models for inference on compressed signals with known or unknown measurement matrix.- Training point-based deep learning networks for forest segmentation with synthetic data.- Brain Age Estimation using Self-attention based Convolutional Neural Network.- IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence.- Interpretable Deep Graph-level Clustering: A Prototype-based Approach.- A Saliency-Aware NR-IQA Method by Fusing Distortion Class Information.- A Guided Input Sampling-based Perturbative Approach for Explainable AI in Image-based Application.- Multi-target Attention Dispersion Adversarial Attack against Aerial Object Detector.- Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation.- Label-expanded Feature Debiasing for Single Domain Generalization.- Infrared and Visible Image Fusion Based on CNN and Transformer Cross-Interaction with Semantic Modulations.- Mining Long Short-Term Evolution Patterns for Temporal Knowledge Graph Reasoning.- Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging.- A Weighted Discrete Wavelet Transform-based Capsule Network for Malware Classification.- Data-driven Spatiotemporal Aware Graph Hybrid-hop Transformer Network for Traffic Flow Forecasting.- Automatic Diagnosis Model of Gastrointestinal Diseases Based on Tongue Images.- TinyConv-PVT: A Deeper Fusion Model of CNN and Transformer for Tiny Dataset.- SCAD-Net: Spatial-Channel Attention and Depth-map Analysis Network for Face Anti-Spoofing.- Next Generation Loss Function for Image Classification.- NAOL: NeRF-Assisted Omnidirectional Localization.- EdgeConvFormer: an unsupervised anomaly detection method for multivariate time series.- Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels.- Hand over face gesture classification with feature driven vision transformer and supervised contrastive learning.- TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering.- GraFix: A Graph Transformer with Fixed Attention based on the WL Kernel.- Multi-Modal Deep Emotion-Cause Pair Extraction for Video Corpus.
