Contrastive Self-Supervised Learning 2020-01-30 10:32:24 Source: https://ankeshanand.com/blog/2020/01/26 ...
. Motivation and framework 当前基于CNN的高光谱图像修复取得了非常大的进展,但是仍然存在如下两个问题: the trained model is limited to the model driven noise simulation process and may generalize poorly to the real HSI with more sophist ...
2021-08-22 10:39 0 100 推荐指数:
Contrastive Self-Supervised Learning 2020-01-30 10:32:24 Source: https://ankeshanand.com/blog/2020/01/26 ...
Self-Supervised Learning with Swin Transformers 2021-05-11 20:32:02 Paper: https://arxiv.org/pdf/2105.04553.pdf Code: https://github.com ...
SEPT Socially-Aware Self-Supervised Tri-Training for Recommendation ABSTRACT 自监督学习(Self-supervised learning, SSL)可以从原始数据中自动生成真实样本。 现有的大多数基于SSL方法 ...
自监督学习 自监督学习(Self-Supervised Learning)是一种介于无监督和监督学习之间的一种新范式,旨在减少深度网络对大量注释数据的需求。大量的人工标注的样本是费时耗力的。 它通过定义无注释(annotation-free)的前置任务(pretext task),为特征学习 ...
论文标题:Bootstrap Your Own Latent A New Approach to Self-Supervised Learning 论文方向:图像领域 论文来源:NIPS2020 论文链接:https://arxiv.org/abs/2006.07733 论文代码 ...
Bootstrap Your Own Latent A New Approach to Self-Supervised Learning Intro 文章提出一种不需要负样本来做自监督学习的方法,提出交替更新假说解释EMA方式更新target network防止collapse的原因 ...
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text 2021-07-22 08:54:20 Paper: https://arxiv.org/pdf ...
标签: 自监督、 图神经 动机 首先, 由于很难改变 GCNs 固有的浅层结构, 如何设计一种基于 GCNs 的一致高效的训练算法来提高其在标签节点较少的图上的泛化性能? 其次, ...