Facial comparison using Siamese Networks
-
Updated
Oct 25, 2022 - Jupyter Notebook
Facial comparison using Siamese Networks
Siam-Vector Search uses Siamese networks to improve vector similarity searches, making retrieval-augmented generation (RAG) systems more accurate.
ActiSiamese (Neurocomputing 2022)
My implementation of Siamese Network for MNIST Dataset in Pytorch and Tensorflow
The Facenet paper of 2015 proposed an interesting solution for huge multiclass problems. Instead of the traditional approach, we try to learn a similarity function i.e. degree of difference between 2 inputs. If the degree of difference between the inputs is less than a threshold then the inputs are classified as similar else different.
Implementation of Siamese network for handwritten Arabic characters using Keras.
Bachelor's graduation project
VOT-Paper-Summary: The objective of this repo is to provide Visual Object Tracking papers' overview concisely.
One shot and few shot deep learning
The project implements Siamese Network with Triplet Loss in Keras to learn meaningful image representations in a lower-dimensional space. By training on the MNIST dataset, it creates a powerful architecture and implements Triplet Loss function. The resulting model enables applications like image search, recommendation systems, and image clustering.
Implementation of state-of-the-art NLP models using transformers for tasks including machine translation, text-summarization, chatbots, and question answering.
Official implementation of the NASiam paper.
The code for offline and online triplet mining for Siamese networks
The code for Fisher Discriminant Triplet (FDT) and Fisher Discriminant Contrastive (FDC) loss functions
SiamBOMB: Siamese network using Background information for real-time Online Multi-species home-cage animal Behavioral analysis. (Updating)
The repository of SiamHAN, an IPv6 address correlation model on TLS encrypted traffic. The work has been accepted as USENIX Security 2021 accepted Paper.
Visual Object Tracking algorithms. Hold on! There is a lot to come
A PyTorch implementation of siamese networks using backbone from torchvision.models, with support for TensorRT inference.
Signature verification system using Siamese networks
Add a description, image, and links to the siamese-networks topic page so that developers can more easily learn about it.
To associate your repository with the siamese-networks topic, visit your repo's landing page and select "manage topics."