Basic conception of loss function, dimension reduction, transfer learning, image classification.

This is the ROS2 package including the tools for Soft Somatosensitive Sensor (SSS).

Demostrates a triplet loss to compute relationship between three image when one is similar to another and different from the third.

Facenet--Triplet loss for image embedding using Cifar100 dataset

Create a Convolutional Neural Network using TensorFlow.

Use Trax Siamese deep Neural LSTM Network to predict pair of similar question (duplicates)

Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process

This works is an analysis of the feature space and comparison of the discriminative capability of features obtained from Autoencoders .In Deep learning literature these problems statements are called representation learning and through this work MNIST feature space and it's intricacies are visualized .

Spring 2022 Bioimage Informatics (Self-Study ) project using triplet loss and hard negative mining

A Image Retrieval System

his repository contains an implementation for eliminating backdoor triggers embedded in images, particularly addressing poison label attacks such as Trojan, BadNets, and Blend.

Classification and Pose estimation using CNN, Quaternion Similarity and Triplet Loss

Perform Face Recognition with FaceNet on Avengers.

Using SigComp'11 dataset for signature verification (With Siamese network and triplet loss)

Notes about triplet loss

Pytorch Implementation of the Paper A UNIFIED VIEW OF DEEP METRIC LEARNING VIA GRADIENT ANALYSIS

An implementation for few computer vision models

A unified deeplearning approach for recognising products in retail environments