| multi-label-classification-on-ms-coco | Q2L-CvT(ImageNet-21K pretraining, resolution 384) | #2 | mAP: 91.3 |
| multi-label-classification-on-ms-coco | Q2L-SwinL(ImageNet-21K pretraining, resolution 384) | #5 | mAP: 90.5 |
| multi-label-classification-on-ms-coco | Q2L-TResL(ImageNet-21K pretraining, resolution 640) | #6 | mAP: 90.3 |
| multi-label-classification-on-ms-coco | Q2L-R101(resolution 448) | #22 | mAP: 84.9 |
| multi-label-classification-on-nus-wide | Q2L-CvT(resolution 384, ImageNet-21K pretrained) | #1 | MAP: 70.1 |
| multi-label-classification-on-nus-wide | Q2L-TResL(resoluition 448) | #3 | MAP: 66.3 |
| multi-label-classification-on-nus-wide | Q2L-R101(resolution 448) | #5 | MAP: 65.0 |
| multi-label-classification-on-pascal-voc-2007 | Q2L-CvT(ImageNet-21K pretrained, resolution 384) | #1 | mAP: 97.3 |
| multi-label-classification-on-pascal-voc-2007 | Q2L-TResL(ImageNet-21K pretrained, resolution 448) | #2 | mAP: 96.9 |
| multi-label-classification-on-pascal-voc-2007 | Q2L-TResL(resolution 448) | #6 | mAP: 96.1 |