Deep Learning Features at Scale for Visual Place Recognition 用於地點識別的大規模深度學習算法
本博客僅爲作者記筆記之用，不對之處，望見諒，歡迎批評指正。 更多相關博客請查閱：http://blog.csdn.net/weixin_39779106； 如需轉載，請附上本文鏈接：http://blog.csdn.net/weixin_39779106/article/details/79028988 原論文鏈接 一摘要 原文摘要 詳解 二介紹 原文摘要 詳解 三研究背景 四地點識別網絡的訓練
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相關文章
- 1. Don't Look Back Robust Place Categorization for Place Recognition 基於分類的地點識別算法
- 2. Learning Deep Learning（學習深度學習）
- 3. Deep Clustering for Unspervised Learning of Visual Features
- 4. [解讀] Deep Clustering for Unsupervised Learning of Visual Features
- 5. The MegaFace Benchmark-1 Million Faces for Recognition at Scale
- 6. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- 7. ResNet——Deep Residual Learning for Image Recognition
- 8. VGG-大規模圖像識別的深度卷積網絡 Very Deep Convolutional Networks for Large-Scale Image Recognition
- 9. Deep Residual Learning for Image Recognition
- 10. VGG: VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION