Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
-
Updated
Dec 13, 2019 - Python
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
PyTorch implementation of the paper - Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution
Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)
Single run action detector on video stream data
Implementation of Handwritten Text Recognition Systems using TensorFlow
Bachelor's Major Project- Presented at ICMISC 2022
A Computationally Efficient HybridSN with Inception Model
Add a description, image, and links to the 2d-cnn topic page so that developers can more easily learn about it.
To associate your repository with the 2d-cnn topic, visit your repo's landing page and select "manage topics."