Chirag-Shilwant / One-Shot-Classification-using-Siamese-Network-on-MNIST-Dataset
A Siamese Neural Network is a class of neural network architectures that contain two or more identical subnetworks. ‘identical’ here means, they have the same configuration with the same parameters and weights.
☆10Updated 3 years ago
Alternatives and similar repositories for One-Shot-Classification-using-Siamese-Network-on-MNIST-Dataset:
Users that are interested in One-Shot-Classification-using-Siamese-Network-on-MNIST-Dataset are comparing it to the libraries listed below
- Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO f…☆35Updated 3 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆24Updated 5 years ago
- Siamese Network and Triplet Loss for face recognition in real time☆14Updated 5 years ago
- Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…☆88Updated 3 years ago
- This repository is used to share some works related to Paderborn Bearing Data☆9Updated 4 years ago
- Try to train a Triplet-Siamese-Netwrok with the constrained Triplet Loss for few shot image classification.☆14Updated 5 years ago
- The aim of this project is to train autoencoder, and use the trained weights as initialization to improve classification accuracy with ci…☆8Updated 4 years ago
- CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0☆75Updated 4 years ago
- Spatial and Channel Attention in CNN Architectures for Image Classification task☆27Updated 4 years ago
- A fast fault diagnosis method for rolling bearings, based on extreme learning machine (ELM) and logistic mapping.☆20Updated 3 years ago
- Siamese network for bearing fault diagnosis☆86Updated 5 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- Code and data for our paper on IEEE-TIE: Integrating Expert Knowledge with Domain Adaptation for Unsupervised Fault Diagnosis☆39Updated 2 years ago
- Comparing CNN+Softmax with CNN+SVM on CIFAR 10 Dataset☆14Updated 6 years ago
- The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.☆16Updated 5 years ago
- wdcnn model for bearing fault diagnosis☆32Updated 5 years ago
- deep learning methods for bearing fault diagnosis☆13Updated 6 years ago
- 故障诊断方面的论文阅读☆16Updated 5 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆57Updated 3 years ago
- ☆26Updated 2 years ago
- using WGAN to generate fault bearing vibration signals☆50Updated 6 years ago
- ☆15Updated 6 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆37Updated 3 years ago
- A convolutional autoencoder for feature extraction, with an SVM for image classification.☆11Updated 6 years ago
- The implementation of "Semantic-consistent Embedding".☆15Updated 3 years ago
- Pytorch implementation of the paper: "Conditional Adversarial Domain Generalization With a Single Discriminator for Bearing Fault Diagnos…☆34Updated 3 years ago
- Analysis of CWRU Bearing Data Set and Development of WeChat Mini Program Interface☆44Updated 3 years ago
- 这是论文Unsupervised Domain Adaptation by Backpropagation的复现代码，并完成了MNIST与MNIST-M数据集迁移，master和tf2分支代码为是基于tf2.x，tf1分支代码基于tf1.x☆64Updated 3 years ago
- Hierarchical diagnosis of bearing faults using branch convolutional neural network considering noise interference and variable working co…☆25Updated 2 years ago
- Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Trans…☆22Updated last year