VOC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-label Image Classification | VOC 2012 (test) | mAP96.6 | 72 | |
| Image Classification | VOC 2007 | Top-1 Accuracy92.6 | 67 | |
| Semantic Segmentation | VOC 2012 (val) | mIoU91.9 | 67 | |
| Image Classification | VOC 2007 (test) | mAP91.9 | 67 | |
| Semantic Segmentation | VOC21 | mIoU84.6 | 65 | |
| Multi-label image recognition | VOC 2007 (test) | mAP96.8 | 61 | |
| Multi-label Classification | VOC 07 | mAP97 | 61 | |
| Object Detection | VOC 2007 (test) | AP@5085.4 | 52 | |
| Semantic Segmentation | VOC-20 | mIoU97.7 | 46 | |
| Semantic Segmentation | VOC | mIoU85.21 | 44 | |
| Pointing localization | VOC 2007 (test) | Mean Accuracy (All)94.2 | 44 | |
| Object Detection | VOC 07+12 (test) | APall79.3 | 38 | |
| Unsupervised Single Object Discovery | VOC 2012 (test) | CorLoc81.5 | 34 | |
| Unsupervised Single Object Discovery | VOC 2007 (test) | CorLoc77.5 | 34 | |
| Object Detection | VOC to Watercolor (target) | mAP64.2 | 31 | |
| Object Detection | VOC 07+12 | AP@5084.2 | 30 | |
| Object Detection | VOC0712 | AP84.9 | 29 | |
| Classification | VOC07 (test) | Accuracy94 | 29 | |
| Classification | VOC 2007 | Accuracy85.4 | 26 | |
| Object Detection | VOC Novel Set 1 | mAP5056.8 | 25 | |
| Semantic Segmentation | VOC (val) | mIoU94.4 | 25 | |
| Object Detection | VOC 2012 (test) | mAP70.35 | 25 | |
| Object Detection | VOC Novel Set 2 | mAP5045.4 | 25 | |
| Adversarial Attack | VOC 2007 (test) | Fooling Rate23.2 | 24 | |
| Object Detection | VOC 07+12 2007 (test) | AP58.1 | 24 |
Showing 25 of 130 rows