Update README.md

README.md

@@ -25,7 +25,7 @@ Mask2Former addresses instance, semantic and panoptic segmentation with the same
 [MaskFormer](https://arxiv.org/abs/2107.06278) both in terms of performance an efficiency by (i) replacing the pixel decoder with a more advanced multi-scale deformable attention Transformer, (ii) adopting a Transformer decoder with masked attention to boost performance without
 without introducing additional computation and (iii) improving training efficiency by calculating the loss on subsampled points instead of whole masks.
 
-![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/maskformer_architecture.png)
+![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/mask2former_architecture.png)
 
 ## Intended uses & limitations