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Update app.py
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app.py
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@@ -5,9 +5,7 @@ from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
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# Deepfake detector data
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data_avg_performance = {
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"Detector": ["
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"[UCF](http://export.arxiv.org/abs/2304.13949)",
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"[CAMO](https://bitmindlabs.notion.site/CAMO-Content-Aware-Model-Orchestration-CAMO-Framework-for-Deepfake-Detection-43ef46a0f9de403abec7a577a45cd075?pvs=74)"],
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"Accuracy": [0.7169, 0.7229, 0.7555],
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"Precision": [0.9193, 0.9436, 0.9442],
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"Recall": [0.5996, 0.592, 0.647],
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@@ -16,9 +14,7 @@ data_avg_performance = {
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}
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data_dataset_accuracy = {
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"Detector": ["
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"[UCF](http://export.arxiv.org/abs/2304.13949)",
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"[CAMO](https://bitmindlabs.notion.site/CAMO-Content-Aware-Model-Orchestration-CAMO-Framework-for-Deepfake-Detection-43ef46a0f9de403abec7a577a45cd075?pvs=74)"],
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"CelebA-HQ": [0.987, 0.995, 0.999],
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"Flickr30k": [0.916, 0.981, 0.979],
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"ImageNet": [0.834, 0.847, 0.831],
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# Deepfake detector data
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data_avg_performance = {
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"Detector": ["NPR", "UCF", "CAMO"],
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"Accuracy": [0.7169, 0.7229, 0.7555],
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"Precision": [0.9193, 0.9436, 0.9442],
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"Recall": [0.5996, 0.592, 0.647],
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}
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data_dataset_accuracy = {
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"Detector": ["NPR", "UCF", "CAMO"],
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"CelebA-HQ": [0.987, 0.995, 0.999],
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"Flickr30k": [0.916, 0.981, 0.979],
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"ImageNet": [0.834, 0.847, 0.831],
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