Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part IV / edited by Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal.

Format:

Book

Author/Creator:

Antonacopoulos, Apostolos.

Contributor:

Chaudhuri, Subhasis.

Chellappa, Rama.

Liu, Cheng-Lin.

Bhattacharya, Saumik.

Pal, Umapada.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15304

Language:

English

Subjects (All):

Computer vision.

Machine learning.

Computer Vision.

Machine Learning.

Local Subjects:

Computer Vision.

Machine Learning.

Physical Description:

1 online resource (0 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031781285

3031781287

OCLC:

1477225587