AI-generated Image Detection on ImageNet
92.74ADM AUROCF-ConV
Evaluation results
| Method | Links | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F-ConVVenue=NeurIPS’252026.05 | 92.74 | — | — | — | — | — | — | — | — | — | — | 91.65 | 88.51 | 87.67 | 88.87 | 88.47 | 85.94 | 84.88 | 98.94 | 98.98 | 98.14 | 98.72 | 98.52 | 98.38 | 96.79 | 96.33 | 95.52 | 95.38 | 93.77 | 93.38 | |
| MDMFVenue=—2026.05 | 92.56 | — | — | — | — | — | — | — | — | — | — | 93.57 | 88.86 | 90.16 | 94.63 | 97.35 | 88.89 | 94.48 | 99.93 | 99.94 | 98.99 | 99.52 | 98.76 | 99.41 | 98.84 | 99.46 | 99.4 | 99.72 | 95.65 | 97.07 | |
| FatFormerVenue=CVPR’242026.05 | 91.77 | — | — | — | — | — | — | — | — | — | — | 90.36 | 83.58 | 83.17 | 92.58 | 92.06 | 86.93 | 85.14 | 98.76 | 98.47 | 97.65 | 98.02 | 97.64 | 97.57 | 96.55 | 95.96 | 97.65 | 97.27 | 93.68 | 93.11 | |
| AIDEVenue=ICLR’252026.05 | 90.32 | — | — | — | — | — | — | — | — | — | — | 90.96 | 86.96 | 88.08 | 90.44 | 94.95 | 78.77 | 87.97 | 99.62 | 99.65 | 96.46 | 98.26 | 97.62 | 98.85 | 98.19 | 99.1 | 99.5 | 99.75 | 93.1 | 95.29 | |
| DRCTVenue=ICML’242026.05 | 90.26 | — | — | — | — | — | — | — | — | — | — | 90.07 | 85.74 | 83.85 | 90.24 | 89.88 | 88.27 | 89.06 | 95.87 | 94.99 | 86.89 | 86.12 | 89.11 | 88.39 | 92.38 | 92.41 | 94.44 | 94.47 | 90.36 | 89.92 | |
| EffortVenue=ICML’252026.05 | 88.28 | — | — | — | — | — | — | — | — | — | — | 89.96 | 83.74 | 85.89 | 94.15 | 97.3 | 84.14 | 92.47 | 99.96 | 99.96 | 94.46 | 97.56 | 94.24 | 97.52 | 95.52 | 97.93 | 99.84 | 99.93 | 92.7 | 95.39 | |
| NPRVenue=CVPR’242026.05 | 85.68 | — | — | — | — | — | — | — | — | — | — | 80.86 | 84.34 | 79.79 | 91.98 | 86.96 | 86.15 | 81.26 | 89.73 | 84.46 | 82.21 | 78.2 | 84.13 | 78.73 | 80.21 | 73.21 | 89.61 | 84.15 | 86 | 80.84 | |
| OjhaVenue=CVPR’232026.05 | 83.37 | — | — | — | — | — | — | — | — | — | — | 82.95 | 79.6 | 78.15 | 80.35 | 79.71 | 82.93 | 81.72 | 93.07 | 92.77 | 87.45 | 84.88 | 85.36 | 83.15 | 85.19 | 84.22 | 90.82 | 90.71 | 85.35 | 84.25 | |
| PatchCraftVenue=—2026.05 | 81.83 | — | — | — | — | — | — | — | — | — | — | 79.65 | 70.88 | 69.36 | 68.47 | 65.19 | 75.38 | 73.29 | 99.85 | 99.26 | 98.55 | 97.91 | 96.33 | 96.25 | 91.28 | 91.47 | 92.56 | 92.17 | 86.13 | 84.95 | |
| C2P-CLIPVenue=AAAI’252026.05 | 72.12 | — | — | — | — | — | — | — | — | — | — | 77.88 | 69.07 | 75.1 | 90.06 | 95.72 | 48.68 | 74.04 | 99.84 | 99.88 | 85.82 | 94.19 | 94.39 | 97.69 | 82.27 | 91.6 | 98.97 | 99.6 | 82.36 | 89.52 | |
| LOTAVenue=ICCV’252026.05 | 66.84 | — | — | — | — | — | — | — | — | — | — | 65.73 | 67.18 | 66.61 | 80.68 | 88.33 | 74.85 | 84.49 | 77.95 | 78.06 | 78.96 | 87.92 | 73.55 | 83.99 | 67.41 | 76.16 | 82.34 | 90.19 | 74.42 | 80.16 | |
| SAFEVenue=KDD’252026.05 | 65.51 | — | — | — | — | — | — | — | — | — | — | 59.52 | 64.78 | 59.12 | 91.41 | 94.36 | 87.42 | 92.64 | 93.07 | 92.11 | 90.8 | 94.57 | 90.11 | 93.85 | 88.84 | 92.28 | 94.41 | 96.53 | 85.15 | 86.11 | |
| CNNspotVenue=CVPR’202026.05 | 62.25 | — | — | — | — | — | — | — | — | — | — | 63.13 | 63.28 | 62.27 | 63.16 | 64.81 | 62.85 | 61.16 | 85.71 | 84.93 | 74.85 | 71.45 | 68.41 | 68.67 | 61.83 | 62.91 | 60.98 | 61.69 | 67.04 | 66.78 | |
| DIREVenue=ICCV’232026.05 | 51.82 | — | — | — | — | — | — | — | — | — | — | 50.29 | 53.14 | 52.96 | 52.83 | 51.84 | 54.67 | 55.1 | 51.62 | 50.83 | 50.7 | 50.27 | 50.95 | 51.36 | 55.95 | 54.83 | 52.58 | 52.1 | 52.7 | 52.18 | |
| AIDEThreshold selection=maximize accuracy following [26]2026.05 | — | 82.63 | 79.33 | 83.07 | 74.53 | 97.38 | 90.72 | 92.67 | 93.78 | 97.06 | 87.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| C2P-CLIPThreshold selection=maximize accuracy following [26]2026.05 | — | 68.92 | 66.84 | 82.87 | 66.67 | 99.16 | 80.24 | 88.72 | 73.46 | 98.02 | 80.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EffortThreshold selection=maximize accuracy following [26]2026.05 | — | 80.35 | 75.71 | 86.48 | 76.14 | 99.25 | 87.64 | 87.39 | 88.75 | 98.82 | 86.72 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LOTAThreshold selection=maximize accuracy following [26]2026.05 | — | 61.8 | 61.77 | 76.87 | 72.87 | 68.77 | 76.32 | 75.42 | 72.74 | 77.12 | 71.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MDMFThreshold selection=maximize accuracy following [26]2026.05 | — | 85.81 | 81.53 | 88.16 | 81.81 | 99.08 | 95.75 | 95.23 | 95.41 | 96.82 | 91.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SAFEThreshold selection=maximize accuracy following [26]2026.05 | — | 63.28 | 62.67 | 85.75 | 80.96 | 85.96 | 84.39 | 84.13 | 83.71 | 88.88 | 79.97 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |