few-shot topic
FewShotLearning
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
Context-Transformer
Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
mini-imagenet-tools
Tools for generating mini-ImageNet dataset and processing batches
FEAT
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
DeepKE
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
prototypical-networks-tensorflow
Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
bigdetection
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training