論文閱讀02 Unsupervised Feature Learning for RGB-D Based Object Recognition
****論文：《Unsupervised Feature Learning for RGB-D Based Object Recognition》–無監督特徵學習的RGBD目標檢測-2012web 介紹： 人工設計的特徵：SIFT、Spin Images 、SURF、Fast Point Feature Histogram、 LINE-MOD，或者各類特徵的結合。 這些方法的限制： 1）只捕捉了原
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相關文章
- 1. 【論文閱讀】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
- 2. Unsupervised Template Learning for Fine-Grained Object Recognition(精讀)
- 3. Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification(CVPR2019)閱讀筆記
- 4. 【論文閱讀】Deep Residual Learning for Image Recognition
- 5. [NLP論文閱讀] Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
- 6. 《Collaborative Spatioitemporal Feature Learning for Video Action Recognition》閱讀
- 7. 論文閱讀——Deep Residual Learning for Image Recognition
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- 9. [CVPR2019]Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification論文筆記
- 10. 論文閱讀筆記：Unsupervised Feature Learning via Non-Parametric Instance Discrimination