Update README.md

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-:tada: Good News: our work has been accepted by **IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)!** :tada:
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1-U642OoCyb8OSM8nx9lme49dmWa_aUcU?usp=sharing)
-# RelTR: Relation Transformer for Scene Graph Generation
-
-We now provide [[Colab](https://colab.research.google.com/drive/1-U642OoCyb8OSM8nx9lme49dmWa_aUcU?usp=sharing)] Demo! 
-
-PyTorch Implementation of the Paper [**RelTR: Relation Transformer for Scene Graph Generation**](https://arxiv.org/abs/2201.11460v3)
-
-Different from most existing advanced approaches that infer the **dense** relationships between all entity proposals, our one-stage method can directly generate a **sparse** scene graph by decoding the visual appearance.
-
-<p align="center">
-  <img src="demo/demo.png">
-</p>
-
-# 0. Checklist
-
-- [x] Inference Code :tada:
-- [x] Training Code for Visual Genome :tada:
-- [x] Evaluation Code for Visual Genome :tada:
-- [x] Colab Demo :tada:
-- [ ] Training Code for OpenImages V6 :clock9:
-- [ ] Evaluation Code for OpenImages V6 :clock9:
-
-# 1. Installation
+# 1. For Visual Genome:
 Download **RelTR Repo** with:
 ```
 git clone https://github.com/yrcong/RelTR.git