guodong's blog

PhD@zhejiang university
   

RepMet_Representative-based metric learning for classification and few-shot object detection(cvpr2019)




DPGN: Distribution Propagation Graph Network for Few-shot Learning CVPR2020 




论文阅读:Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning(iccv2019)




论文阅读:Few-shot Object Detection via Feature Reweighting cvpr

思维导图:




论文阅读:Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning cvpr2019

思维导图:




论文阅读:FGN: Fully Guided Network for Few-Shot Instance Segmentation cvpr2020

思维导图:




论文阅读:Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

摘要:小样本学习是研究中的重要领域。从概念上讲,仅举几个例子,人类就很容易理解新概念,而从务实的角度讲,有限的 […]




论文里的英语单词

in the case of  对于。。。而言 retain 保留 to the best of our kn […]




论文阅读:TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning cvpr2019

学习图像的良好特征嵌入通常需要大量的训练数据。 因此,在训练数据有限的环境中(例如,少样本法和零样本法学习), […]




few shot learning综述

文章来源:https://arxiv.org/abs/1904.05046 机器学习在数据密集型应用程序中非常 […]