keras implementation of triplet-loss and triple-center-loss
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Updated
Nov 26, 2019 - Python
keras implementation of triplet-loss and triple-center-loss
The final project of DLCV course (CommE 5052) on NTU
Evaluating the effectiveness of using standalone center loss.
PyTorch implementation of "Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine 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
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.
keras implementation of metric-based methods (center-loss, circle-loss, triplets...)
PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).
training model using center-loss for face recognition
PyTorch Implementation for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation" (ACM MM Asia'20).
This is an implementation of the Center Loss article (2016).
Similarity Learning applied to Speaker Verification and Semantic Textual Similarity
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)
This project is intended to solve the task of massive image retrieval.
Face Recognition Project on Pytorch
Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
Deep Attentive Center Loss
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