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research:vslam:gn-net [2019/09/13 17:22] Lukas von Stumberg |
research:vslam:gn-net [2019/11/27 13:54] Lukas von Stumberg |
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===== Downloads ===== | ===== Downloads ===== | ||
- | The **paper** can be downloaded at: http:// | + | The **paper** can be downloaded at: https:// |
The **video** is available at: [[https:// | The **video** is available at: [[https:// | ||
- | The **supplementary** can be downloaded at: {{ : | + | The **supplementary** can be downloaded at: {{ : |
+ | The **relocalization tracking benchmark dataset** can be downloaded at: | ||
+ | [[https:// | ||
- | **The dataset will be published until September 20, 2019.** | + | ====== Results Oxford Robotcar ====== |
+ | The following new results include comparisons to D2-Net and SuperPoint. These keypoint-based methods were designed to be used in combination with the PnP algorithm in a RANSAC scheme. | ||
+ | We also show results for a GN-Net model which was only trained on the synthetic CARLA benchmark, but tested on the Oxford sequences (dashed green). | ||
+ | ===== Results Sunny-Overcast ===== | ||
+ | {{: | ||
+ | ===== Results Sunny-Rainy ===== | ||
+ | {{: | ||
+ | ===== Results Sunny-Snowy ===== | ||
+ | {{: | ||
+ | ===== Results Overcast-Rainy ===== | ||
+ | {{: | ||
+ | ===== Results Overcast-Snowy ===== | ||
+ | {{: | ||
+ | ===== Results Rainy-Snowy ===== | ||
+ | {{: | ||
< | < | ||
< | < | ||
</ | </ |