There are 1 repository under xception topic.
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
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
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
Simple Eye Blink Detection with CNN
Xception V1 model in Tensorflow with pretrained weights on ImageNet
Pytorch implementation of DeepLab V3+
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
Benchmarking various Computer Vision models on TinyImageNet Dataset
This project aims to predict the crash severity for given road features contained within satellite images.
Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
MATLAB Fashion Classification with Deep Learning.
This repo includes classifier trained to distinct 7 type of skin lesions
99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition
Pytorch Implementation of Image Classifiers (MobileNet, ResNet, Xception)
Tagging images of bank cheques
[Bachelor Graduation Project] Use Xception model for face anti-spoofing
Implementation of state-of-the-art models to do segmentation over our own dataset.
A TensorFlow2.0 implementation of Xception Deep Learning with Depthwise Separable Convolutions