CAT
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Secret information extraction | Cat | Accuracy99.68 | 29 | |
| Image Generation | CAT 64x64 (N=9304) | Mean FID15.61 | 15 | |
| Surgical Video Recognition | Cat-21 | Top-1 Accuracy15.69 | 14 | |
| Image Generation | CAT 32x32 (train) | FID9.5 | 12 | |
| Video fitting | Cat | PSNR (dB)37.54 | 10 | |
| 3D Reconstruction and Rendering | Cat | PSNR24.83 | 9 | |
| Interactive Segmentation | Cat | mIoU88.7 | 8 | |
| Surgical Video Recognition | CAT-1k | Top-1 Accuracy18.81 | 7 | |
| Surgical Video Recognition | Cat-101 | Top-1 Accuracy35.16 | 7 | |
| Image Stitching | Cat (test) | Inference Time (s)0.0389 | 7 | |
| Keyphrase Recommendation | CAT 3 | Precision54 | 5 | |
| Keyphrase Recommendation | CAT 2 | Precision56 | 5 | |
| Keyphrase Recommendation | CAT 1 | Precision54 | 5 | |
| 3-D reconstruction | Cat Reflective Object (test) | RMSE (mm)0.881 | 5 | |
| Anti-steganalysis | Cat | YeNet Score0.9902 | 5 | |
| Blood Vessel Reconstruction | CAT08 (1496) | Radius Difference0.101 | 4 | |
| Texture Reconstruction | Cat (test) | PSNR34.91 | 4 | |
| Image Generation | CAT 256x256 2011 | Min FID32.11 | 4 | |
| Image Generation | Cat | FID17.3 | 3 | |
| Image Generation | CAT 128x128 | Min FID15.85 | 3 | |
| Gaussian Deblurring | Cat dataset | FID63.17 | 2 | |
| Controlled Image Generation | Cat (test) | FID71.56 | 2 | |
| Text-to-Image Generation | Cat | FID69.57 | 2 |
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