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Search results for xception
xception
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24 search results found
Pytorch Cifar100
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3,687
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)
Pytorch Deeplab Xception
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2,524
DeepLab v3+ model in PyTorch. Support different backbones.
Classification_models
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706
Classification models trained on ImageNet. Keras.
Keras Idiomatic Programmer
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705
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Dogs_vs_cats
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549
猫狗大战
Segmentron
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407
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)
Ai_papers
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254
AI Papers
Sceneclassify
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143
AI场景分类竞赛
Covid 19 Detection Flask App Based On Chest X Rays And Ct Scans
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121
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.
Deeplab_v3_plus
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81
This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.
Tensorflow_model_slim_classify
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41
Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/v
Xception With Your Own Dataset
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36
Easy-to-use scripts for training and inferencing with Xception on your own dataset
Deepdiy
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29
Deep learning based tool for image processing. No need for Programing and GPU.
Skin_disease_ai
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18
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.
Image Captioning With Beam Search
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14
Generating image captions using Xception Network and Beam Search in Keras
Xray14 Keras
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11
training a classification model with xray14 dataset
Xception_tensorflow
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10
Xception V1 model in Tensorflow with pretrained weights on ImageNet
Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques
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10
Independent Research Project on Automatic Detection Of Lumpy Skin Disease Using Deep Learning Techniques.
Face Mask Detection Tf2.x
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10
An approach to detecting face masks in crowded places built using RetinaNet Face for face mask detection and Xception network for classification.
Pytorch_deeplab
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9
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
Monkeypox Skin Lesion Classification Using Transfer Learning Approach
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8
Official Code Files For My Research Paper Presented at 4th IEEE Bombay Section Signature Conference (IBSSC-2022). Paper Published in IEEEXplore.
Pytorch Deeplab V3 Plus
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8
Pytorch implementation of DeepLab V3+
Lightheadrcnn
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6
pytorch-1.1 torchvision-0.3
Dogs Vs Cats Redux
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5
99.7% accuracy solution for Dogs vs Cats Redux Kaggle competition
1-24 of 24 search results
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