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research:vslam:gn-net [2019/09/16 17:40] wenzel |
research:vslam:gn-net [2019/11/27 13:34] stumberg |
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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 **relocalization tracking benchmark dataset** can be downloaded at: |
+ | [[https:// | ||
+ | |||
+ | ====== New 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 ===== | ||
+ | {{: | ||
< | < | ||
< | < | ||
</ | </ |