Topic: xception Goto Github
Some thing interesting about xception
Some thing interesting about xception
xception,Landmark Recognition(Google Challenge on Kaggle) Using Transfer Learning
User: adityasurana
xception,[Bachelor Graduation Project] Use Xception model for face anti-spoofing
User: albertmp
xception,Static malware detection using transfer learning techniques on MMCC_2015 dataset.
User: anagh-sharma
xception,In this repository you will find everything you need to know about Convolutional Neural Network, and how to implement the most famous CNN architectures in both Keras and PyTorch. (I'm working on implementing those Architectures using MxNet and Caffe)
User: anasbrital98
xception,Independent Research Project on Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques.
User: aryashah2k
xception,Official Code Files For My Research Paper Presented at 4th IEEE Bombay Section Signature Conference (IBSSC-2022). Paper Published in IEEEXplore.
User: aryashah2k
xception,Workshop CDK Template to provision infra for the Deep Visual Search workshop
Organization: aws-samples
xception,This GitHub repository contains instructions for downloading and utilizing the AI4Food-NutritionDB food image database, as well as different food recognition systems based on Xception and EfficientNetV2 architectures.
User: bidalab
Home Page: http://atvs.ii.uam.es/atvs/
xception,This GitHub provides different DeepFakes Detectors using facial regions and considering three different state-of-the-art fake detection systems.
User: bidalab
Home Page: http://atvs.ii.uam.es/atvs/
xception,Deep learning based tool for image processing. No need for Programing and GPU.
User: deepdiy
Home Page: http://www.deepdiy.net/
xception,This repo includes classifier trained to distinct 7 type of skin lesions
User: deveshsangwan
xception,training a classification model with xray14 dataset
User: doublechenching
xception,Xception implemented with caffe
User: ethanhe42
Home Page: https://yihui-he.github.io/blog/xception-with-caffe
xception,Pytorch implementation of DeepLab V3+
User: f1recracker
xception,Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Organization: googlecloudplatform
xception,Xception V1 model in Tensorflow with pretrained weights on ImageNet
User: hikapok
xception,AI Papers
User: hlearning
xception,
User: hokmund
xception,DeepLab v3+ model in PyTorch. Support different backbones.
User: jfzhang95
xception,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.
User: kaushikjadhav01
xception,Defect classificaiton using NEU dataset
User: kazenokizi
xception,Classifies 574 vehicle make-models using a ResNet50 architecture and YOLOv5
User: kingjosephm
xception,pytorch-1.1 torchvision-0.3
User: leowangzi
xception,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)
User: likely-journey
xception,Benchmarking various Computer Vision models on TinyImageNet Dataset
User: meet-minimalist
xception,Generating image captions using Xception Network and Beam Search in Keras - My Bachelor's thesis project
User: moeinh77
Home Page: https://www.aparat.com/v/BqVHt?playlist=338869
xception,Covid-19 and Pneumonia detection from X-ray Images from the paper: https://doi.org/10.1016/j.imu.2020.100360
User: mr7495
xception,A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.
User: nadavis56
Home Page: https://teledermatologis-ai.streamlit.app/
xception,Implementation of state-of-the-art models to do segmentation over our own dataset.
User: naivomah3
xception,Helping doctors prevent gastrointesintal cancers.
User: oneforawe
xception,Easy-to-use scripts for training and inferencing with Xception on your own dataset
User: otenim
xception,Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
Organization: perxeptron
xception,AIεΊζ―εη±»η«θ΅
User: puke3615
xception,Learning a Deep Dual-level Network for Robust DeepFake Detection
User: pwb97
xception,Classification models trained on ImageNet. Keras.
User: qubvel
xception,Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
User: robinatp
xception,Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
User: rolandgao
xception,99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition
User: romankornev
xception,Chainer implementation of the paper "Xception: Deep Learning with Depthwise Separable Convolutions" (https://arxiv.org/abs/1610.02357).
User: shunk031
xception,This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
User: songdejia
xception,This project aims to predict the crash severity for given road features contained within satellite images.
Organization: soysaucenz
Home Page: https://crash.severity.ml
xception,MATLAB Fashion Classification with Deep Learning.
User: taliegemen
xception,Pytorch Implementation of Image Classifiers (MobileNet, ResNet, Xception)
User: tanishqgautam
xception,An approach to detecting face masks in crowded places built using RetinaNet Face for face mask detection and Xception network for classification.
User: tanyachutani
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)
User: weiaicunzai
xception,Tagging images of bank cheques
User: yanliang12
xception,Simple Eye Blink Detection with CNN
User: yoshidan
xception,Lightweight Facial Expression(emotion) Recognition model
User: yoshidan
xception,η«η倧ζ
User: ypwhs
xception,As part of a Cloud and Distributed Systems lecture, we developed a scalable application in the form of an image classifier meant for deployment on Kubernetes. We also created our own Kubernetes infrastructure bare metal server, complete with loadbalancing and ingress-support.
User: zottelsheep
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