Topic: resnext Goto Github
Some thing interesting about resnext
Some thing interesting about resnext
resnext,This projects aims in detection of video deepfakes using deep learning techniques like ResNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained ResNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features.
User: 0904-mansi
Home Page: https://0904-mansi.github.io/Deepfake_detection_using_deep_learning/
resnext,Deep 3D Semantic Scene Extrapolation
User: aliabbasi
Home Page: http://user.ceng.metu.edu.tr/~ys/pubs/extrap-tvcj18.pdf
resnext,A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
User: allentdan
resnext,Classification with PyTorch.
User: bearpaw
resnext,Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
User: cadene
resnext,A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
User: calmilovesai
resnext,A tensorflow2 implementation of ResNeXt(ResNeXt50, ResNeXt101).
User: calmilovesai
resnext,:footprints: “恒锐杯”鞋印花纹图像类别判定挑战赛
Organization: cattidea
Home Page: https://cattidea.github.io/shoeprint-recognition/
resnext,PyTorch Mobile starter kit.
User: cedrickchee
resnext,Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
User: cxy1997
resnext,PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models
User: d-li14
Home Page: https://arxiv.org/abs/1908.05867
resnext,PyTorch-style and human-readable RegNet with a spectrum of pre-trained models
User: d-li14
Home Page: https://arxiv.org/abs/2003.13678
resnext,Food detection and recommendation with deep learning
User: gabrielilharco
resnext,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
resnext,Implement and Compare VGG, ResNet and ResNeXt on CIFAR-10
User: guanqiaoding
resnext, This code includes classification and detection tasks in Computer Vision, and semantic segmentation task will be added later.
User: hanxiaoyigithub
resnext,paddle cifar100 training
User: itisianlee
resnext,Keras (Tensorflow) code for the manuscript 'DenseUNets with feedback non-local attention for the segmentation of specular images of the corneal endothelium with Fuchs dystrophy'
User: jpviguerasguillen
resnext,DeepFake Detection Web-App[Mirage Breaker] 🖥 using Deep Learning(ResNext and LSTM), Flask and ReactJs where you can predict whether a video is FAKE Or REAL along with the confidence ratio.
User: keshavch0udhary
resnext,CBAM implementation on TensowFlow
User: kobiso
resnext,Abnormal Behavior Recognition
User: lacie-life
resnext,利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
User: lxztju
resnext,Approximating a 3DCNN with a 2DCNN
User: paritoshparmar
Home Page: https://arxiv.org/abs/1912.04430
resnext,Tensorflow-keras implementations of ResNeXt and dual path network architectures
User: pathofdata
resnext,medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
User: prakashjayy
resnext,Classification models trained on ImageNet. Keras.
User: qubvel
resnext,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
User: qubvel
resnext,Pytorch implementation of vision models.
User: rohitgr7
resnext,Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
User: sakib1263
resnext,Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
User: soeaver
resnext,deep conv backone for image classification
User: stick-to
resnext,pytorch implementation of several CNNs for image classification
User: syt2
resnext,Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
User: taki0112
resnext,Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge
User: tugstugi
resnext,Practice on cifar10 and cifar100(Vgg, ResNet, ResNeXt, Mobilenet, Mobilenetv2) ,there will be more.
User: uestcjay
resnext,COVID-Next -> Pytorch upgrade of the COVID-Net for COVID-19 detection in X-Ray images
Organization: velebit-ai
resnext,A novel deep learning based technique for effective cancer detection.
User: vivek2188
resnext,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
resnext,PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
User: xmuyzz
resnext,Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
User: xternalz
resnext,My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]
User: yell
Home Page: https://www.kaggle.com/c/sp-society-camera-model-identification
resnext,基于tf.keras的多标签多分类模型
User: zheng-yuwei
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