https://github.com/cair/corrembed_evaluating_pre-trained_model_efficacy

Code for the paper "CorrEmbed: Evaluating Pre-trained Model Efficacy with a Novel Metric Integrating Image Embedding and Tag Correlation"
https://github.com/cair/corrembed_evaluating_pre-trained_model_efficacy

Last synced: 12 months ago
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Code for the paper "CorrEmbed: Evaluating Pre-trained Model Efficacy with a Novel Metric Integrating Image Embedding and Tag Correlation"

• Host: GitHub
• URL: https://github.com/cair/corrembed_evaluating_pre-trained_model_efficacy
• Owner: cair
• License: mit
• Created: 2023-09-04T12:33:36.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-07T13:50:35.000Z (almost 3 years ago)
• Last Synced: 2025-02-04T21:45:19.792Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 73.2 MB
• Stars: 2
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# CorrEmbed_Evaluating_Pre-trained_Model_Efficacy

Code for the paper "CorrEmbed: Evaluating Pre-trained Model Efficacy with a Novel Metric Integrating Image Embedding and Tag Correlation"

As the dataset, unfortunately, is private, we'll be omitting all of the code not directly related to the calculation of CorrEmbed.

# Figure 3

![plot](./Figures/Tsne_Outfit_Collage.png)

# Figure 4

![plot](./Figures/Blue_Sweater_V_A_Collage.png)

# Figure 5

![plot](./Figures/Marius_Sweater_ViT_AlexNet.png)

# Figure 6

![plot](./Figures/Wood_Background_Comparison.png)