Bring the SOTA(DINOv2) model to the classification task

[sungmanc]

Summary

This PR includes:

• DINO-v2-register-small model implementation and experimental results.
• Wrap the common thing of configs/models/*.yaml
• Used the MMpretrain's data pipeline, Torchvision transforms will be introduced at the further PR.
• Add tests for the DINO-v2 model

Experimental results: (iter_time_epoch) will be noted at OneNote.

• To experiment with the DINO-v2-register-small model, I freeze the backbone. If not, the model couldn't training well.
  

How to test

Checklist

• I have added unit tests to cover my changes.​
• I have added integration tests to cover my changes.​
• I have added e2e tests for validation.
• I have added the description of my changes into CHANGELOG in my target branch (e.g., CHANGELOG in develop).​
• I have updated the documentation in my target branch accordingly (e.g., documentation in develop).
• I have linked related issues.

License

• I submit my code changes under the same Apache License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below).

# Copyright (C) 2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

[vinnamkim]

LGTM.

[harimkang]

LGTM