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

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)

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.

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

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

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

Pytorch implementation of Center Loss

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

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.

Open Set Recognition

One-shot Learning and deep face recognition notebooks and workshop materials

Deep Attentive Center Loss

Center Loss (Pytorch Version)

center loss for face recognition

One-shot face identification using deep learning

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

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

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

An unofficial Gluon FR Toolkit for face recognition. https://gluon-face.readthedocs.io

Similarity Learning applied to Speaker Verification and Semantic Textual Similarity