Imagen de Portada

Learning Geometric Invariant Features for Classification of Vector Polygons with Graph Message-passing Neural Network

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Huang, Zexian, Khoshelham, Kourosh, Tomko, Martin
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LMSeg: An end-to-end geometric message-passing network on barycentric dual graphs for large-scale landscape mesh segmentation
por: Huang, Zexian, et al.
Publicado: (2024)

Mapping Hidden Heritage: Self-supervised Pre-training on High-Resolution LiDAR DEM Derivatives for Archaeological Stone Wall Detection
por: Huang, Zexian, et al.
Publicado: (2025)

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph
por: Yu, Dazhou, et al.
Publicado: (2024)

Unifying Graph Contrastive Learning via Graph Message Augmentation
por: Zhang, Ziyan, et al.
Publicado: (2024)

Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration
por: Kang, Xueyang, et al.
Publicado: (2024)

A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classification
por: Fuhl, Wolfgang
Publicado: (2024)

Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
por: Zhang, Ziwei, et al.
Publicado: (2021)

Gait-based Age Group Classification with Adaptive Graph Neural Network
por: Aderinola, Timilehin B., et al.
Publicado: (2022)

Cross-View Graph Consistency Learning for Invariant Graph Representations
por: Chen, Jie, et al.
Publicado: (2023)

Surfel-based 3D Registration with Equivariant SE(3) Features
por: Kang, Xueyang, et al.
Publicado: (2025)

Degraded Polygons Raise Fundamental Questions of Neural Network Perception
por: Tang, Leonard, et al.
Publicado: (2023)

Kronecker Product Feature Fusion for Convolutional Neural Network in Remote Sensing Scene Classification
por: Cheng, Yinzhu
Publicado: (2024)

Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
por: Zhang, Haimin, et al.
Publicado: (2024)

Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification
por: Duarte, Rafael Mendonça, et al.
Publicado: (2026)

Accelerating Image Classification with Graph Convolutional Neural Networks using Voronoi Diagrams
por: Gharasuie, Mustafa Mohammadi, et al.
Publicado: (2025)

Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing
por: Zhang, Fahong, et al.
Publicado: (2025)

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning
por: Pham, Cuong, et al.
Publicado: (2024)

Fast Graph Neural Network for Image Classification
por: Gharasuie, Mustafa Mohammadi, et al.
Publicado: (2025)

A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
por: Ntelemis, Foivos, et al.
Publicado: (2022)

Feature-based Graph Attention Networks Improve Online Continual Learning
por: Sim, Adjovi, et al.
Publicado: (2025)

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
por: Maleki, Alireza, et al.
Publicado: (2024)

A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networks
por: Peleska, Jan, et al.
Publicado: (2023)

Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
por: Saha, Sourajit, et al.
Publicado: (2024)

MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
por: Yang, Tuan-Anh, et al.
Publicado: (2025)

An Adaptive Tangent Feature Perspective of Neural Networks
por: LeJeune, Daniel, et al.
Publicado: (2023)

Out-of-distribution detection in 3D applications: a review
por: Li, Zizhao, et al.
Publicado: (2025)

ClickSeg3D: Few-Click Interactive Segmentation via Semantic Embeddings
por: Kang, Xueyang, et al.
Publicado: (2026)

SG-LDM: Semantic-Guided LiDAR Generation via Latent-Aligned Diffusion
por: Xiang, Zhengkang, et al.
Publicado: (2025)

rareboost3d: a synthetic lidar dataset with enhanced rare classes
por: Lin, Shutong, et al.
Publicado: (2025)

Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
por: Huang, Luffina C., et al.
Publicado: (2024)

Approximate Message Passing for Bayesian Neural Networks
por: Sommerfeld, Romeo, et al.
Publicado: (2025)

Feature, Alignment, and Supervision in Category Learning: A Comparative Approach with Children and Neural Networks
por: Qiu, Fanxiao Wani, et al.
Publicado: (2026)

Learning Low-Rank Feature for Thorax Disease Classification
por: Goel, Rajeev, et al.
Publicado: (2024)

Relative Energy Learning for LiDAR Out-of-Distribution Detection
por: Li, Zizhao, et al.
Publicado: (2025)

Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
por: Jin, Yinzhu, et al.
Publicado: (2024)

Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment
por: Park, Yong-Hyun, et al.
Publicado: (2024)

Text-Guided Image Invariant Feature Learning for Robust Image Watermarking
por: Ahtesham, Muhammad, et al.
Publicado: (2025)

Feature Map Similarity Reduction in Convolutional Neural Networks
por: Belmekki, Zakariae, et al.
Publicado: (2024)

Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network
por: Yaqub, Muhammad, et al.
Publicado: (2024)

SONIC: Spectral Oriented Neural Invariant Convolutions
por: Moens, Gijs Joppe, et al.
Publicado: (2026)