COD10K
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Camouflaged Object Detection | COD10K (test) | S-measure (S_alpha)0.898 | 224 | |
| Camouflaged Object Detection | COD10K | S-measure (S_alpha)0.923 | 178 | |
| Instance Segmentation | COD10K v3 (test) | AP45.3 | 27 | |
| Camouflaged Object Segmentation | COD10K (test) | Mean Absolute Error (M)0.029 | 24 | |
| Camouflaged Object Detection | COD10K 1.0 (test) | MAE0.02 | 23 | |
| Camouflaged Object Segmentation | COD10K 2016 (test) | Fw_beta84.9 | 21 | |
| Camouflaged Object Detection | COD10K 14 (test) | M Score3.8 | 21 | |
| Camouflaged Object Detection | COD10K 2026 images (test) | S-measure (Sm)0.903 | 20 | |
| Interactive Segmentation | COD10K | NoC@908.91 | 18 | |
| Concealed Object Detection | COD10K (2,026) | S-measure (Sm)91.3 | 17 | |
| Camouflaged Object Segmentation | COD10K | mIoU (box)78.06 | 9 | |
| Camouflaged Object Detection | COD10K-D (test) | mAP19.6 | 8 | |
| Camouflaged Object Detection | COD10K 54 | S-alpha0.912 | 7 | |
| Camouflaged Object Detection | COD10K v2 (test) | MAE0.02 | 7 | |
| Meta-Measure 4 (Structural Sensitivity - Dilate) | COD10K | Error Rate0.8 | 7 | |
| Meta-Measure 4 (Structural Sensitivity - Erode) | COD10K | Error Rate1.21 | 7 | |
| Meta-Measure 3 (Noise Sensitivity) | COD10K | Error Rate1 | 7 | |
| Meta-Measure 2 (Ground-Truth Switch) | COD10K | Error Rate0.01 | 7 | |
| Camouflaged Object Detection | COD10K 2026 images | mIoU79.84 | 7 | |
| Camouflaged Object Edge Extraction | COD10K (test) | ODS Score54 | 6 | |
| Camouflaged Object Detection | COD10K 8 (test) | S-measure (Sα)88 | 5 | |
| Camouflaged Object Segmentation | COD10K v1 (test) | gIoU (Implicit)78.2 | 4 | |
| Camouflaged Object Segmentation | COD10K v1 (train) | gIoU (Implicit Query)78 | 4 |
Showing 23 of 23 rows