Update README.md

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+# ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video（ECCV2024)
+
+This repo is the official model checkpoints of ["ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video"](https://arxiv.org/abs/2310.01324)（ECCV2024)
+
+
+## Models
+
+We provide the checkpoints before reparameterization, you could reparameter the weight refer to `tools\weight_reparam.py` in our [codes](https://github.com/MCG-NJU/ZeroI2V/blob/main/tools/weight_reparam.py).
+### Kinetics 400
+
+| Backbone |  Pretrain   | GFLOPs | Param | New Param (M) | acc@1 | Views 
+| :---: | :---: | :---: | :---: | :---: | :---: | :---: | 
+| ViT-B/16 | CLIP | 422 | 86 | 0 | 83.0 | 8x1x3 |
+| ViT-L/14 | CLIP | 1946 | 304 | 0 | 86.3 | 8x1x3 | 
+| ViT-L/14 | CLIP | 7783 | 304 | 0 | 87.2 | 32x1x3 |
+
+### Something Something V2
+
+| Backbone |  Pretrain   | GFLOPs | Param | New Param (M) | acc@1 | Views |
+| :---: | :---: | :---: | :---: | :---: | :---: | :---: | 
+| ViT-L/14 | CLIP | 7783 | 304 | 0 | 72.2 | 32x3x1 |
+
+
+
+If you find our work useful in your research, please cite:
+```
+@article{li2023zeroi2v,
+  title={ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video},
+  author={Li, Xinhao and Zhu, Yuhan and Wang, Limin},
+  journal={arXiv preprint arXiv:2310.01324},
+  year={2023}
+}
+```
+
+
+