Alternatives and similar repositories for Data-augmentation-using-GAN:

Users that are interested in Data-augmentation-using-GAN are comparing it to the libraries listed below

• tkhs3 / BCNN_keras
  Bilinear CNN implementation using keras
  ☆35Updated 6 years ago
• ShadyF / cnn-rnn-classifier
  A practical example on how to combine both a CNN and a RNN to classify images.
  ☆53Updated 8 years ago
• Jianlong-Fu / Multi-Attention-CNN
  ☆61Updated 7 years ago
• halwai / bird_classification
  Fine-grained classification of bird images from Caltech-UCSD Birds-200-2011 dataset
  ☆48Updated 7 years ago
• hwei-hw / FocalLoss_Keras
  Focal Loss implementation by Keras with TensorFlow backend
  ☆42Updated 7 years ago
• pdima / kaggle_2018_data_science_bowl_solution
  4th place solution for 2018 Data Science Bowl kaggle competition
  ☆47Updated 6 years ago
• vshmyhlo / retinanet-tensorflow
  Implementation of RetinaNet in TensorFlow
  ☆25Updated 6 years ago
• cydonia999 / Grad-CAM-in-TensorFlow
  Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.
  ☆20Updated 6 years ago
• titu1994 / Keras-DualPathNetworks
  Dual Path Networks for Keras 2.0+
  ☆113Updated 5 years ago
• DavideA / deeplabv2-keras
  DeeplabV2 segmentation in Keras.
  ☆41Updated 6 years ago
• Charleo85 / DeepCar
  Fine-grained detection on Vehicle Model/Make
  ☆71Updated 7 years ago
• wpydcr / tf-slim-Class-Activation-Map
  use tensorflow slim to realize Class Activation Map in Googlenet
  ☆45Updated 7 years ago
• sourajitcs / Residual-Attention-Convolutional-Neural-Network
  It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper …
  ☆38Updated 6 years ago
• chencodeX / Bilinear_CNN_dog_classifi
  tensorflow->BCNN + pytorch -> vgg16/resnet/BCNN
  ☆92Updated 5 years ago
• zhufengx / SRN_multilabel
  ☆144Updated 3 years ago
• mengrang / DFL-CNN-tensorflow
  TF-Implementation of "Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition"
  ☆74Updated 6 years ago
• MacwinWin / Deep-Model-Transfer
  A method for Fine-Grained image classification
  ☆41Updated 5 years ago
• xinsirFGVC / MLAN
  A pytorch implementation of paper "A multi-level attention network for fine-grained image classification"
  ☆11Updated 6 years ago
• iNLyze / DeepLearning-SeGAN-Segmentation
  This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf
  ☆103Updated 6 years ago
• xzqjack / FeatureMapInversion
  Feature Map Inversion to visualize what feature a filter extract from input image in CNNs
  ☆30Updated 8 years ago
• hiveml / tensorflow-grad-cam
  Tensorflow Slim Grad-Cam to Explain Neural Network Predictions with Heatmap or Shading
  ☆167Updated 7 years ago
• kobiso / SENet-tensorflow-slim
  SENet implementation on TensorFlow Slim
  ☆58Updated 6 years ago
• xcnkx / fine_grained_classification
  ☆53Updated 5 years ago
• minfengUCAS / Muti-Attention-CNN
  ☆73Updated 7 years ago
• rgmyr / keras-texture
  tf.keras implementations of deep texture recognition & fine-grained image classification models
  ☆29Updated 5 years ago
• koichiro11 / residual-attention-network
  ☆94Updated 7 years ago
• prlz77 / attend-and-rectify
  Pytorch code for the IEEE TM/ECCV paper "Attend and rectify"
  ☆53Updated 5 years ago
• sagieppel / Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-
  This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map a…
  ☆48Updated 3 years ago
• jiangqy / Customized-DataLoader-pytorch
  Customized DataLoader for multi label dataset classification-pytorch implementation
  ☆64Updated 7 years ago
• DavideA / dilation-keras
  Multi-Scale Context Aggregation by Dilated Convolutions in Keras.
  ☆71Updated 6 years ago