Update README.md

README.md

@@ -68,9 +68,9 @@ by effectively leveraging perspective-specific signals.
 
 > | Model            | UI F1 | MISS F1 | Overall F1 |
 |------------------|-------|---------|------------|
-| ORacle (Baseline) | 0.72  | 0.64    | 0.67       |
-| MM2SG (Baseline)  | 0.79  | 0.66    | 0.72       |
-| **EgoExOR (Ours)**| **0.84**  | **0.69**    | **0.76**       |
+| ORacle (Baseline) | 0.70  | 0.71    | 0.69       |
+| MM2SG (Baseline)  | 0.77  | 0.68    | 0.72       |
+| **EgoExOR (Ours)**| **0.86**  | **0.70**    | **0.79**       |
 
 Overall the results, shown in Table above, the dual-branch EgoExOR model achieves
 the highest macro F1. Several predicates in EgoExOR rely on understanding transient tool-hand