official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
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Updated
Mar 11, 2023 - Python
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
Dimensionality reduction in very large datasets using Siamese Networks
Siamese network for bearing fault diagnosis
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
A simple, easy-to-use and flexible siamese neural network implementation for Keras
Re-implementation of Mueller's et al., "Siamese Recurrent Architectures for Learning Sentence Similarity." (AAAI, 2016)
Google QUEST Q&A Labeling Kaggle Competition 6th Place Solution
A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.
Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data.
Keras and PyTorch implementations of the MaLSTM model for computing Semantic Similarity.
1st Place Solution for the EARTHVISION 2021 DynamicEarthNet Challenge - Weakly-Supervised Multi-Class Change Detection Track at CVPRW 2021
The SiameseFC combined with Kalman Filter and Correlation Filter
Baseline approach to Change Detection using deep learning and Siamese CNNs
Examples of different Siamese Neural Networks architectures applied to well-known datasets.
Implementation of Siamese Neural Network in Caffe
A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.
TASS Facenet uses Siamese Neural Networks and Triplet Loss to classify known and unknown faces by calculating distances between images, and communicates with IoT devices/applications via the free iotJumpWay PaaS
This project is concerned with my participating in the RuNNE competition https://github.com/dialogue-evaluation/RuNNE
Contains code for Siamese Recurrent Neural Network with Self-Attention for Bioactivity Prediction
OfHSV project using VGG16 and siamese neural network. Very easy. 使用VGG16和孪生神经网络实现离线签名鉴别,极其简单
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