xception

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

DeepLab v3+ model in PyTorch. Support different backbones.

Classification models trained on ImageNet. Keras.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

猫狗大战

AI Papers

AI场景分类竞赛

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

Easy-to-use scripts for training and inferencing with Xception on your own dataset

Deep learning based tool for image processing. No need for Programing and GPU.

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

Xception implemented with caffe

Lightweight Facial Expression(emotion) Recognition model

An approach to detecting face masks in crowded places built using RetinaNet Face for face mask detection and Xception network for classification.

Covid-19 and Pneumonia detection from X-ray Images from the paper: https://doi.org/10.1016/j.imu.2020.100360

Generating image captions using Xception Network and Beam Search in Keras

training a classification model with xray14 dataset

Xception V1 model in Tensorflow with pretrained weights on ImageNet

Simple Eye Blink Detection with CNN

Pytorch implementation of DeepLab V3+

Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.

pytorch-1.1 torchvision-0.3

Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays

Benchmarking various Computer Vision models on TinyImageNet Dataset

This project aims to predict the crash severity for given road features contained within satellite images.

99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition

Pytorch Implementation of Image Classifiers (MobileNet, ResNet, Xception)