This repo implements a VGG model with SPP layer to make it receive images with different shapes, which is then used to classify images of culture relics and compare results under differnt images types - gray images with the same shape, gray images with different shapes, bgr images with the same shape, bgr images with different shapes
A PyTorch implementation of Neural Style Transfer (Gatys et al. 2015).
PyTorch Volume Models for 3D data
CNN Image classification for Cifar 10 & Cifar 100 dataset using PyTorch
A comprehensive collection of PyTorch implementations for the VGG (Visual Geometry Group) models
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
Funciones utilles para PyTorch.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes
Classification models with pretrained backbones. PyTorch. Easy to use baseline to train your models
OfHSV project using VGG16 and siamese neural network. Very easy. 使用VGG16和孪生神经网络实现离线签名鉴别，极其简单
Image classification using deep learning models with activation map visualisation and TensorRT support
Relatively flexible examples for building DNNs with volumetric data in pytorch
CNN classifiers that can take an image of a lung scan as input and predict whether an individual has COVID-19
Emotion recognition from facial images using convolutional neural networks.
Binary classification of COVID-19 and non-COVID-19 chest X-rays
Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training
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