Enable ViTReciproCAM for VisionTransformer backbone (cls task)

[negvet]

Summary

Enable ViTReciproCAM to support cls models with VisionTransformer backbone, e.g. deit.

Can be merged, but cannot be actually used in Geti until #2098 is resoled (featute vector and saliency maps are coupled). Can be used right away only for torch runtime.

Validated in OTX:

• Torch task (infer, explain APIs).
• Export to OV IR.
• OV task (infer (async, sync), explain APIs).

Torch task examples:

OV task examples:

Multilabel:

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

[jaegukhyun]

LGTM

[eunwoosh]

Thanks for your effort :) I left some comments. please take a look.