論文筆記：Understanding the Limitations of CNN-based Absolute Camera Pose Regression

時間 2021-01-08

標籤 CNN camera pose 位姿估計相機定位圖像檢索欄目系統網絡简体版

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摘要 Visual localization is the task of accurate camera pose estimation in a known scene. It is a key problem in computer vision and robotics, with applications including selfdriving cars, Structure-fro

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1. Understanding the Limitations of CNN-based Absolute Camera Pose Regression 2019 論文筆記
2. PoseNet2：Geometric loss functions for camera pose regression with deep learning 論文筆記
3. IoU-uniform R-CNN: Breaking Through the Limitations of RPN 論文筆記
4. The Limitations of Deep Learning in Adversarial Settings論文筆記
5. Introduction to Camera Pose Estimation with Deep Learning && 2019 論文筆記
6. [論文筆記] [2010] Understanding the Difﬁculty of Training Deep Feedforward Neural Networks
7. [論文筆記]UNDERSTANDING AND ENHANCING THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES(archive)
8. 【論文筆記】PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
9. 【論文回顧】The Limitations of Deep Learning in Adversarial Settings
10. 《RETHINKING THE VALUE OF NETWORK PRUNING》論文筆記
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1. Understanding the Limitations of CNN-based Absolute Camera Pose Regression 2019 論文筆記
2. PoseNet2：Geometric loss functions for camera pose regression with deep learning 論文筆記
3. IoU-uniform R-CNN: Breaking Through the Limitations of RPN 論文筆記
4. The Limitations of Deep Learning in Adversarial Settings論文筆記
5. Introduction to Camera Pose Estimation with Deep Learning && 2019 論文筆記
6. [論文筆記] [2010] Understanding the Difﬁculty of Training Deep Feedforward Neural Networks
7. [論文筆記]UNDERSTANDING AND ENHANCING THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES(archive)
8. 【論文筆記】PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
9. 【論文回顧】The Limitations of Deep Learning in Adversarial Settings
10. 《RETHINKING THE VALUE OF NETWORK PRUNING》論文筆記

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