| instance-segmentation-on-coco-minival | MambaVision-B + Cascade Mask R-CNN | #59 | mask AP: 45.7 |
| image-classification-on-imagenet | MambaVision-L3 | #64 | Top 1 Accuracy: 88.1%GFLOPs: 489.1 |
| image-classification-on-imagenet | MambaVision-L | #288 | Top 1 Accuracy: 85%Number of params: 227.9MGFLOPs: 34.9 |
| image-classification-on-imagenet | MambaVision-B | #370 | Top 1 Accuracy: 84.2%Number of params: 97.7MGFLOPs: 15 |
| image-classification-on-imagenet | MambaVision-S | #478 | Top 1 Accuracy: 83.3%Number of params: 50.1MGFLOPs: 7.5 |
| image-classification-on-imagenet | MambaVision-T2 | #547 | Top 1 Accuracy: 82.7%Number of params: 35.1MGFLOPs: 5.1 |
| image-classification-on-imagenet | MambaVision-T | #590 | Top 1 Accuracy: 82.3%Number of params: 31.8MGFLOPs: 4.4 |
| image-classification-on-imagenet | MambaVision-L2 | #1106 | Number of params: 241.5M |
| semantic-segmentation-on-ade20k | MambaVision-B + UperNet | #151 | Validation mIoU: 49.1 |
| object-detection-on-coco-val2017 | MambaVision-B (Cascade Mask R-CNN 3x) | #161 | box AP: 52.8AP50: 71.3AP75: 57.2Params (M): 145 |
| object-detection-on-coco-val2017 | MambaVision-S (Cascade Mask R-CNN 3x) | #170 | box AP: 52.3AP50: 71.1AP75: 56.7Params (M): 108 |
| object-detection-on-coco-val2017 | MambaVision-T (Cascade Mask R-CNN 3x) | #196 | box AP: 51.1AP50: 70.0AP75: 55.6Params (M): 86 |