Knowledge graph-based image classification - ScienceDirect
May 1, 2024 · This paper introduces a deep learning method for image classification that leverages knowledge formalized as a graph created from information represented by pairs …
We propose CNN2GNN and CNN2Transformer which instead leverage inter-example information for classification. We use Graph Neural Networks (GNNs) to build a latent space bipartite …
GraphCLIP: Image-graph contrastive learning for multimodal …
Feb 15, 2025 · We introduce GraphCLIP, a novel contrastive framework designed for multimodal artwork classification. GraphCLIP enhances information extraction and classification accuracy …
[2201.12633] Image Classification using Graph Neural Network …
Jan 29, 2022 · We use SplineCNN, a state-of-the-art network for image graph classification, to compare WaveMesh and similar-sized superpixels. Using SplineCNN, we perform extensive …
Image classification using Graph Neural Networks (GNNs) with ... - GitHub
Image classification using Graph Neural Networks (GNNs) with MNIST dataset. This repository is the implementation of paper A Graph Neural Network for superpixel image classification by …
Applying Graph Neural Networks for Better Image Classification
Sep 28, 2024 · This article explains how to adapt Graph Neural Networks (GNNs) for image classification. It covers the process from converting images into graphs to updating the …
Image Classification Based on Deep Graph Convolutional Networks
The first is the graph construction stage, where the images are converted into graph structure data (composed of a node-edge-node form). The second is the graph classification stage, …
Image Classification Using Graph-Based Representations and
Jan 5, 2021 · In this paper, we propose to represent images as graphs, and to apply machine learning algorithms that operate on graphs to the emerging representations.
graph neural networks to multi-label image classification. We introduce the Graph Search Neural Network (GSNN) which uses features from the image to efficiently anno-tate the graph, select …
Image classification is a classic visual problem whose goal is to classify images into a fixed set of pre-defined cat-egories. For example, the widely used ImageNet dataset [8] carefully …
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