Urban
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Denoising | Urban100 | PSNR37.41 | 317 | |
| Abundance Estimation | Urban-6 | RMSE4.82 | 63 | |
| Endmember Estimation | Urban-6 | SAD3.5 | 63 | |
| Super-Resolution | Urban bicubic downsampling (test) | PSNR24.05 | 60 | |
| Text-to-Image Retrieval | Urban-1K | R@198.8 | 56 | |
| Image-to-Text Retrieval | Urban1k | R@195.2 | 36 | |
| Image-to-Text Retrieval | Urban-1K | R@198 | 34 | |
| Hyperspectral Anomaly Detection | Urban I | AUC (PD, PF)99.83 | 25 | |
| Hyperspectral Unmixing | Urban | MRSA Score7.9 | 20 | |
| Text-to-Image Retrieval | Urban-1k (unseen) | R@196.1 | 18 | |
| Definition Modeling | Urban | BLEU36.16 | 18 | |
| Image-to-Text Retrieval | Urban-1k | Top-1 Accuracy94.6 | 16 | |
| Hyperspectral Anomaly Detection | Urban II | AUC (PD, PF)0.9968 | 15 | |
| Hyperspectral Image Super-Resolution | Urban | mPSNR30.47 | 15 | |
| Hyperspectral Unmixing | Urban 6 endmembers | Spectral Angle (Road)2.39 | 12 | |
| Hyperspectral Unmixing | Urban 4 endmembers | Spectral Angle (Road)3.04 | 12 | |
| Hyperspectral Unmixing | Urban 6 endmembers | Missed Endmembers1 | 12 | |
| Hyperspectral Unmixing | Urban 4 endmembers | Number of Missed Endmembers0 | 12 | |
| Image-Text Retrieval | Urban 1k long-text | T2I Recall@188.6 | 11 | |
| Hyperspectral Image Reconstruction | Urban subimage HYDICE | RSNR28.28 | 10 | |
| Hyperspectral Image Super-Resolution | Urban 16 patches | mPSNR27.784 | 10 | |
| Text-to-Image Retrieval | Urban1k (test) | R@192.2 | 10 | |
| Hyperspectral Anomaly Detection | Urban | AUCF146.86 | 9 | |
| Long-caption Cross-modal Retrieval | Urban-1k (test) | T2I Recall@191.1 | 8 | |
| Trajectory Prediction | Urban Pedestrians and Cyclists in Road Traffic | Average Displacement Error (ADE)0.51 | 7 |
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