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deep-learningmetric-learningmeta-learningfew-shot-learningfew-shot-recognitionmini-imagenettiered-imagenetmeta-datasetconditional-neural-processfew-shot-classifcation UpdatedMar 25, 2023 Python Anirudh257/strm Star95 [CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-...
Title: DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers PDF: arxiv.org/abs/2003.0677 Code: github.com/icoz69/DeepE 贡献 将Earth Mover's Distance(EMD)引入few-shot classification领域,并通过KKT条件及隐函数定理使其可微,并使嵌入EMD的网络可以...
Forward Compatible Few-Shot Class-Incremental Learning (CVPR 2022)速查笔记 暴戾无言 若非坚决至暴戾,亦可静默着抗争。5 人赞同了该文章 论文链接:2203.06953.pdf (arxiv.org) 代码链接:https: //github.com/zhoudw-zdw/CVPR22-Fact 摘要 在我们动态变化的世界中经常出现新的类别,例如认证系统中的新用户,...
《Few-shot learning with noisy labels》(CVPR 2022) GitHub: github.com/facebookresearch/noisy_few_shot《GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs》(NeurIPS 2022) GitHub: github.com/Emiyalzn/GraphDE [fig9]...
《Few-shot Image Generation via Cross-domain Correspondence》(CVPR 2021) GitHub:https:// github.com/utkarshojha/few-shot-gan-adaptation [fig1]《Rethinking and Improving the Robustness of Image Style Transfer》(CVPR 2021) GitHub:https:// github.com/peiwang062/swag [fig5]...
本篇是发表在 CVPR 2022 上的 Generalized Few-shot Semantic Segmentation(后文简称 GFS-Seg),既一种泛化的小样本语义分割模型。在看论文的具体内容之前,我们先了解一些前置知识。 深度学习是 Data hunger 的方法, 需要大量的数据,标注或者未标注。少样本学习研究就是如何从少量样本中去学习。拿分类问题来说,每个...
论文:《DPGN: Distribution Propagation Graph Network for Few-shot Learning》,CVPR2020 代码:https://github.com/megvii-research/DPGN 一、概述 在给定少量标注数据(support集)的情况下,Few-shot learning旨在对未标注数据(query 集)进行预测。 有很多方法可以用于Few-shot learning任务,比如: ...
Forward Compatible Few-Shot Class-Incremental Learning 论文/Paper:https://arxiv.org/abs/2203.06953 代码/Code:https://github.com/zhoudw-zdw/CVPR22-Fact XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding ...
论文名称:《Adaptive Subspaces for Few-Shot Learning》 论文地址:http://openaccess.thecvf.com/content_CVPR_2020/papers/Simon_Adaptive_Subspaces_for_Few-Shot_Learning_CVPR_2020_paper.pdf 论文阅读参考:https://blog.csdn.net/qq_36104364/article/details/106984460 ...