some readme

README.md

@@ -271,18 +271,38 @@ python scripts/evaluate_semantic_segmentation.py \
 
 Should output:
 ```
-scene                                             iou     f1         
-barsana_DJI_0500_0501_combined_sliced_2700_14700  63.367  75.327
-comana_DJI_0881_full                              60.554  73.757
-norway_210821_DJI_0015_full                       37.998  45.928
-overall avg                                       53.973  65.004
+scene                                             iou     f1
+barsana_DJI_0500_0501_combined_sliced_2700_14700  63.36  75.32
+comana_DJI_0881_full                              60.55  73.75
+norway_210821_DJI_0015_full                       37.99  45.92
+overall avg                                       53.97  65.00
 ```
 
 Not providing `--scenes` will make an average across all 3 scenes (not average after each metric individually):
 
 ```
           iou      f1
-scene                
+scene
 all    60.456  73.261
 ```
 </details>
+
+### 3.1 Official benchmark
+
+#### IoU
+
+| method |  barsana_DJI_0500_0501_combined_sliced_2700_14700 | comana_DJI_0881_full |  norway_210821_DJI_0015_full |
+|:-|:-|:-|:-|
+| [Mask2Former](https://openaccess.thecvf.com/content/CVPR2022/papers/Cheng_Masked-Attention_Mask_Transformer_for_Universal_Image_Segmentation_CVPR_2022_paper.pdf) | 63.36 | 60.55 | 37.99 |
+| [NGC(LR)](https://openaccess.thecvf.com/content/ICCV2023W/LIMIT/papers/Marcu_Self-Supervised_Hypergraphs_for_Learning_Multiple_World_Interpretations_ICCVW_2023_paper.pdf) | 46.51 | 45.59 | 30.17 |
+| [CShift](https://www.bmvc2021-virtualconference.com/assets/papers/0455.pdf)[^1] | 46.27 | 43.67 | 29.09 |
+| [NGC](https://cdn.aaai.org/ojs/16283/16283-13-19777-1-2-20210518.pdf)[^1] | 44.34 | 38.99 | 22.63 |
+
+[^1]: reported in the [Dronescapes paper](https://openaccess.thecvf.com/content/ICCV2023W/LIMIT/papers/Marcu_Self-Supervised_Hypergraphs_for_Learning_Multiple_World_Interpretations_ICCVW_2023_paper.pdf).
+
+#### F1 Score
+
+| method |  barsana_DJI_0500_0501_combined_sliced_2700_14700 | comana_DJI_0881_full |  norway_210821_DJI_0015_full |
+|:-|:-|:-|:-|
+| [Mask2Former](https://openaccess.thecvf.com/content/CVPR2022/papers/Cheng_Masked-Attention_Mask_Transformer_for_Universal_Image_Segmentation_CVPR_2022_paper.pdf) | 75.32 | 73.75 | 45.92 |
+