ECCV2016【论文笔记】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
1、INTRO 本文作者旨在通过解决拼图问题来进行self-supervised learning，这样可以训练一个网络去识别目标的组成部分。 2、Solving Jigsaw Puzzles 当前一种解决拼图问题的方法是将9个tiles叠在一起，每张图又是三通道，所以就变成27通道。这种方法问题在于网络会更倾向学习图片间的低阶信息的相关性，比如说图片结构或者纹理边框。 但是解决拼图问题并不需要网
相关文章
- 1. 自监督学习（十）Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
- 2. [解读] Deep Clustering for Unsupervised Learning of Visual Features
- 3. 【论文笔记】Joint Unsupervised Learning of Deep Representations and Image Clusters
- 4. 【论文笔记】Unsupervised Learning of Video Representations using LSTMs
- 5. 论文笔记----DeepWalk: Online Learning of Social Representations
- 6. 论文笔记：DeepWalk: Online Learning of Social Representations
- 7. [论文笔记]Unsupervised Visual Representation Learning by Context Prediction
- 8. A Simple Framework for Contrastive Learning of Visual Representations
- 9. 论文阅读笔记：Momentum Contrast for Unsupervised Visual Representation Learning
- 10. 【论文笔记】Unsupervised Discovery of Object Landmarks as Structural Representations
- 更多相关文章...
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • XSLT
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 自监督学习（十）Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
- 2. [解读] Deep Clustering for Unsupervised Learning of Visual Features
- 3. 【论文笔记】Joint Unsupervised Learning of Deep Representations and Image Clusters
- 4. 【论文笔记】Unsupervised Learning of Video Representations using LSTMs
- 5. 论文笔记----DeepWalk: Online Learning of Social Representations
- 6. 论文笔记：DeepWalk: Online Learning of Social Representations
- 7. [论文笔记]Unsupervised Visual Representation Learning by Context Prediction
- 8. A Simple Framework for Contrastive Learning of Visual Representations
- 9. 论文阅读笔记：Momentum Contrast for Unsupervised Visual Representation Learning
- 10. 【论文笔记】Unsupervised Discovery of Object Landmarks as Structural Representations