论文阅读02 Unsupervised Feature Learning for RGB-D Based Object Recognition

时间 2020-01-24

标签论文阅读 unsupervised feature learning rgb based object recognition 栏目 CSS 繁體版

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****论文：《Unsupervised Feature Learning for RGB-D Based Object Recognition》–无监督特征学习的RGBD目标检测-2012web 介绍：人工设计的特征：SIFT、Spin Images 、SURF、Fast Point Feature Histogram、 LINE-MOD，或者各类特征的结合。这些方法的限制： 1）只捕捉了原

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1. 【论文阅读】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
2. Unsupervised Template Learning for Fine-Grained Object Recognition(精读)
3. Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification(CVPR2019)阅读笔记
4. 【论文阅读】Deep Residual Learning for Image Recognition
5. [NLP论文阅读] Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
6. 《Collaborative Spatioitemporal Feature Learning for Video Action Recognition》阅读
7. 论文阅读——Deep Residual Learning for Image Recognition
8. 【论文笔记】Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
9. [CVPR2019]Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification论文笔记
10. 论文阅读笔记：Unsupervised Feature Learning via Non-Parametric Instance Discrimination

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