Update README.md

README.md

@@ -8,13 +8,13 @@ Gaze following and social gaze prediction are fundamental tasks providing insigh
 
 ## Overview
 
-* **Training**: resnet18-gaze360 was trained on [[Gaze360]((https://github.com/erkil1452/gaze360/)
+* **Training**: resnet18-gaze360 was trained on [Gaze360](https://github.com/erkil1452/gaze360/)
 * **Backbone**: resnet18-gaze360 is adapted from [ResNet-18](https://huggingface.co/microsoft/resnet-18)
   * License: [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.html)
 * **Parameters**: 11M
 * **Task**: MTGS performs multi-person gaze following and social gaze prediction in images and videos. Given an image or a video frame with multiple people, the model predicts where each person is looking in the scene (gaze following) and infers pair-wise social gaze interactions among individuals (social gaze prediction). Specifically, we tackle three social gaze prediction tasks:
   1. Looking at Heads (LAH): whether a person is looking at another person's head.
-  2. Looking at Each Other (LEO): whether two people are looking at each other.
+  2. Looking at Each Other (LAEO): whether two people are looking at each other.
   3. Shared Attention (SA): whether two people are looking at the same target in the scene.
 * **Framework**: PyTorch Lightning