efidalgo / AutoBlur-CNN-Features
Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier with lineal kernel over the following small datasets: Soccer [1], Birds [2], 17flowers [3], ImageNet-6Weapons[4] and ImageNet-7Arthropods[4].
☆31Updated 6 years ago
Alternatives and similar repositories for AutoBlur-CNN-Features:
Users that are interested in AutoBlur-CNN-Features are comparing it to the libraries listed below
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆61Updated 6 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆98Updated 6 years ago
- A feature extractor based on Python 3, Tensorflow, and Scikit-learn created to improve the SVM accuracy to classify the MNIST dataset fas…☆70Updated 2 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- Multi-Label Multi-Class Fine-Grain Image-Classification using Keras for iMaterialist_challenge_FGVC5 at CVPR18☆13Updated 6 years ago
- Siamese Network and Triplet Loss for face recognition in real time☆14Updated 5 years ago
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 8 years ago
- Image Feature Extraction and Classification Using Python☆113Updated 8 years ago
- Image classification using CNN☆15Updated 6 years ago
- Simple tensorflow-keras implementation of SKConv in Selective Kernel Networks☆30Updated 4 years ago
- 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
- Implementation of: 1) simple CNN for MNIST 2) Alexnet and VGG16 net(from scratch as well as using pre-trained ImageNet weights) on Pascal…☆17Updated 6 years ago
- keras_example_with_confusion_matrix☆20Updated 7 years ago
- 3D ConvNets for Action Recognition with Keras (3d ResNet, 3d DenseNet, 3d Inception, C3D, 3d dense resnet)☆42Updated 6 years ago
- Gluon implementation of channel-attention modules: SE, ECA, GCT☆39Updated 4 years ago
- Implementation of Squeeze-and-Excitiation Network on Keras☆22Updated 5 years ago
- Bilinear CNN implementation in keras.☆28Updated 5 years ago
- DEEP INTERPRETABLE ARCHITECTURE FOR PLANT DISEASES CLASSIFICATION☆17Updated 4 years ago
- cnn+rnn: vgg(vgg16,vgg19)+rnn(LSTM, GRU), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU), inception_v4+rnn(LSTM, GRU)…☆66Updated 6 years ago
- This application uses LIBSVM and PIL to perform image classification on a set of images.☆88Updated 9 years ago
- 使用LBP方法提取特征,再使用svm进行分类☆40Updated 7 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆75Updated 4 years ago
- ☆17Updated 6 years ago
- a pytorch implementation to fine-grained few shot classification using triplet loss☆11Updated 6 years ago
- Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset☆14Updated 6 years ago
- Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…☆13Updated 7 years ago
- TensorFlow implementation of "Residual Attention Network for Image Classification"☆16Updated 6 years ago
- course labratory☆14Updated 6 years ago
- An efficient and multi-scale feature fusion behavior recognition algorithm☆18Updated 4 years ago
- Paper implementation☆39Updated 5 years ago