zhangyaqi1989 / Ensemble-Methods-for-Image-ClassificationLinks
In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.
☆97Updated 6 years ago
Alternatives and similar repositories for Ensemble-Methods-for-Image-Classification
Users that are interested in Ensemble-Methods-for-Image-Classification are comparing it to the libraries listed below
Sorting:
- 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
- Naive implementation of SENet in Keras☆134Updated 6 years ago
- Simple tensorflow-keras implementation of SKConv in Selective Kernel Networks☆30Updated 4 years ago
- Keras implementation of Residual Attention Network☆109Updated 7 years ago
- Visualization CNN model by Keras.☆73Updated 6 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Updated 5 years ago
- ☆61Updated 7 years ago
- Ensembling ConvNets using Keras☆75Updated 6 years ago
- Focal Loss for multi-class classification☆55Updated 7 years ago
- Script to extract CNN deep features with different ConvNets, and then use them for an Image Classification task with a SVM classifier wit…☆30Updated 7 years ago
- mutil-class focal loss implemented in keras☆157Updated 6 years ago
- 3D ConvNets for Action Recognition with Keras (3d ResNet, 3d DenseNet, 3d Inception, C3D, 3d dense resnet)☆42Updated 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…☆71Updated 2 years ago
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 8 years ago
- Bilinear CNN implementation using keras☆35Updated 7 years ago
- CBAM implementation on Keras☆365Updated 4 years ago
- Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine☆62Updated 6 years ago
- 基于PyTorch使用迁移学习完成项目☆60Updated 7 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)…☆67Updated 6 years ago
- This is an implementation of compact bilinear CNN using keras☆24Updated 6 years ago
- http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html☆70Updated 8 years ago
- keras ImageDataGenerator example☆60Updated 7 years ago
- DropBlock implemented in Keras☆26Updated 3 years ago
- HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS☆170Updated 8 months ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- Focal Loss implementation in Keras☆325Updated 4 years ago
- Simple Tensorflow implementation of Squeeze Excitation Networks (ResNeXt, Inception-v4, Inception-resnet-v2). Include focal loss, center …☆10Updated 7 years ago
- data augmentation on python☆35Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- #Deep One class #Anomaly Detection☆49Updated 6 years ago