This is an implementation of the Center Loss article (2016).
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Updated
Jan 21, 2024 - Python
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 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
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