Add image-segmentation pipeline tag to metadata

README.md

@@ -1,24 +1,26 @@
 ---
-license: mit
-language:
-  - en
-tags:
-  - video-object-centric-learning
-  - object-discovery
-  - slot-attention
-  - unsupervised-segmentation
-  - video-understanding
-  - pytorch
 datasets:
-  - movi-c
-  - movi-e
-  - youtube-vis-2021
-  - coco
-metrics:
-  - fg-ari
-  - mbo
+- movi-c
+- movi-e
+- youtube-vis-2021
+- coco
+language:
+- en
 library_name: pytorch
+license: mit
+pipeline_tag: image-segmentation
+metrics:
+- fg-ari
+- mbo
+tags:
+- video-object-centric-learning
+- object-discovery
+- slot-attention
+- unsupervised-segmentation
+- video-understanding
+- pytorch
 ---
+
 <div align="center">
   
 <h1> SSync: Selective Synergistic Learning for Video Object-Centric Learning </h1>
@@ -74,4 +76,4 @@ See [data/README.md](https://github.com/wjun0830/SSync/blob/main/data/README.md)
 
 ## Acknowledgements
 
-Built upon [VideoSAUR](https://github.com/martius-lab/videosaur), [SlotContrast](https://github.com/martius-lab/slotcontrast), [SRL](https://github.com/hynnsk/SRL), and [SlotCurri](https://github.com/wjun0830/SlotCurri).
+Built upon [VideoSAUR](https://github.com/martius-lab/videosaur), [SlotContrast](https://github.com/martius-lab/slotcontrast), [SRL](https://github.com/hynnsk/SRL), and [SlotCurri](https://github.com/wjun0830/SlotCurri).