Update README.md

README.md

@@ -193,8 +193,8 @@ Please follow instructions on dedicated git repository for models running on thi
 - Baseline based on image segmentation and reprojection into LiDAR: [ImageVote baseline](https://huggingface.co/heig-vd-geo/ImageVote_GridNet-HD_baseline)
 - Baseline based on LiDAR 3D segmentation directly using Superpoint Trasnformer (SPT): [SPT baseline](https://huggingface.co/heig-vd-geo/SPT_GridNet-HD_baseline)
 - Baseline based on late fusion between softmax logits from SPT and ImageVote: [LateFusionMLP baseline](https://huggingface.co/heig-vd-geo/LateFusionMLP_GridNet-HD_baseline)
-- Baseline based on the recent PTv3 model: [PTv3 baseline](https://huggingface.co/heig-vd-geo/PTv3_GrdiNet-HD_baseline)
-- Baseline based on the current SOTA of 3D/2D fusion, DINO In The Room (DITR): [DITR baseline](https://huggingface.co/heig-vd-geo/PTv3_GrdiNet-HD_baseline)
+- Baseline based on the recent PTv3 model: [PTv3 baseline](https://huggingface.co/heig-vd-geo/PTv3_GridNet-HD_baseline)
+- Baseline based on the current SOTA of 3D/2D fusion, DINO In The Room (DITR): [DITR baseline](https://huggingface.co/heig-vd-geo/PTv3_GridNet-HD_baseline)
 
 Results are visible here with the **best model** from 3 different baselines:
 |               Baseline    |    ImageVote baseline |   SPT baseline|   Late fusion MLP|  PTv3 IoU (%)   | DITR IoU (%)   |