CC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Denoising | CC | PSNR37.99 | 64 | |
| Text-to-Image Retrieval | CC152K | R@142.8 | 48 | |
| Image-to-Text Retrieval | CC152K | R@143 | 48 | |
| Text-to-Image Retrieval | CC 152K (test) | R@143.1 | 28 | |
| Image-to-Text Retrieval | CC 152K (test) | R@143.7 | 28 | |
| Image Denoising | CC15 | PSNR38.49 | 25 | |
| Text-to-Image Generation | CC-3M (val) | FID6.36 | 14 | |
| Utility evaluation | CC | Balanced Acc67.3 | 13 | |
| Minority class representation | CC | Minority Class Percentage32.1 | 13 | |
| Image Denoising | CC Cross-Channel 65 (test) | PSNR (Canon 5D, ISO 3200)39.76 | 12 | |
| DCR baseline protection analysis | CC | DCR Baseline Protection14.9 | 12 | |
| Membership Inference Attack | CC | Success Rate54.9 | 12 | |
| Synthetic Data Evaluation (Column Pair Trends) | CC | Column Pair Trends Score97.2 | 12 | |
| Overfitting Protection Evaluation | CC | DCR Overfitting Protection0.898 | 12 | |
| Tabular Synthetic Data Generation | CC | Column Shapes Score0.98 | 12 | |
| Image-Text Retrieval | CC152K (test) | Rsum375.3 | 10 | |
| Binary Classification | cc default | AUC0.7915 | 10 | |
| Image-Text Retrieval | CC152K | Sum372.2 | 10 | |
| Skin tone classification | CC v2 | Accuracy53 | 9 | |
| Automatic Speech Recognition | CC | WER11.14 | 9 | |
| Video Reconstruction | cc 2017 (test) | Semantic 2-way Accuracy (Frame)81.1 | 9 | |
| fMRI-to-Video Reconstruction | cc Average across Subjects 2017 | Semantic Acc (Frame, 50-way)21 | 8 | |
| Spectral Clustering | CC-5M | Time Cost (s)46.65 | 8 | |
| Seq2Seq generation | CC | BLEU2.2 | 7 | |
| Real Noise Removal | CC (test) | PSNR40.08 | 7 |
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