There are 1 repository under fewshot-learning topic.
Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436
Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"
Example of one shot learning and few shot learning with omniglot dataset.
Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net
AdaptKeyBERT extended keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation
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”
Testing code for few-shot action recognition
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models TensorFlow
MAML implementation in PyTorch.
ACDFSL for Hyperspectral Image Classification
A PyTorch implementation of paper "PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation".
Code for Continual Few-Shot Learning for the submission to the Nagasaki Internship program
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
Scripts, algorithms and files for a rule-based and ML-based approach for binary classification of regulatory / non-regulatory sentences in EU legislative documents, as well as code for evaluating the accuracy of these approaches
some NLP demos that corpus are translate from English
Designed and trained a model to perform multi-tasks at the same time using a handful set of images
Video segmentation of a whirl beetle and the ripples it creates.