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

keras implementation of triplet-loss and triple-center-loss

PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss"

Hybrid Data Augmentation and Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition

keras implementation of metric-based methods (center-loss, circle-loss, triplets...)

Implementation of Center Loss in Chainer

training model using center-loss for face recognition

One-shot face identification using deep learning

Based on https://github.com/Arsey/keras-transfer-learning-for-oxford102, but more things are done in the project. Especially for the triplet and center loss.

The final project of DLCV course (CommE 5052) on NTU

In this repository, we implement and review state of the art papers in the field of face recognition and face detection, and perform operations such as face verification and face identification with Deep models like Arcface, MTCNN, Facenet and so on.

Official companion repository for the paper "A Metric Learning Approach to Misogyny Categorization" at the 5th Workshop on Representation Learning for NLP, ACL 2020

Evaluating the effectiveness of using standalone center loss.

keras implementation of A Discriminative Feature Learning Approach for Deep Face Recognition based on MNIST

This repository contains the ipynb for a project on deep learning visual classification of food categories

Center Loss (Pytorch Version)

Similarity Learning applied to Speaker Verification and Semantic Textual Similarity

PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).

This is an implementation of the Center Loss article (2016).

PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).