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@@ -20,8 +20,9 @@ In this project, we introduce GiT (Generalist Vision Transformer). GiT has the f
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  - 🤗 **Achieving task synergy by unified language interface**: Similar to LLM, GiT observes task synergy effect in multi-task training.
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  - 🔥 **Strong performance on zero-shot and few-shot benchmark**: GiT scales well with model size and data, demonstrating remarkable generalizability across diverse scenarios after trained on 27 datasets.
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- ![image/png](https://huggingface.co/kanashi6/GiT/blob/main/Figure1.png)
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  - **Developed by:** Haiyang Wang ( wanghaiyang6@stu.pku.edu.cn ), Hao Tang (tanghao@stu.pku.edu.cn)
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  - **License:** Apache license 2.0
 
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  - 🤗 **Achieving task synergy by unified language interface**: Similar to LLM, GiT observes task synergy effect in multi-task training.
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  - 🔥 **Strong performance on zero-shot and few-shot benchmark**: GiT scales well with model size and data, demonstrating remarkable generalizability across diverse scenarios after trained on 27 datasets.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6585493b53c37507639fe3ba/glLj40VWCFaa0BVi4-_9d.png)
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  - **Developed by:** Haiyang Wang ( wanghaiyang6@stu.pku.edu.cn ), Hao Tang (tanghao@stu.pku.edu.cn)
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  - **License:** Apache license 2.0