Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436
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Updated
May 13, 2020 - Python
Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models TensorFlow
Testing code for few-shot action recognition
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
Example of one shot learning and few shot learning with omniglot dataset.
A PyTorch implementation of paper "PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation".
Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"
根据关键词从Openaccess网站获取文章列表,CVPR2020/WACV2020小样本论文合辑
Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”
Designed and trained a model to perform multi-tasks at the same time using a handful set of images
MAML implementation in PyTorch.
Code for Continual Few-Shot Learning for the submission to the Nagasaki Internship program
Video segmentation of a whirl beetle and the ripples it creates.
Interactive Skeleton Based Few Shot Action Recognition
some NLP demos that corpus are translate from English
AdaptKeyBERT extended keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation
ACDFSL for Hyperspectral Image Classification
The repository hosts the code, data, and other artefacts for the paper "A deep learning-based approach for identifying unresolved questions on Stack Exchange Q&A communities through graph-based communication modelling", available here: https://link.springer.com/article/10.1007/s41060-023-00454-0
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
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