Instance Segmentation on MS COCO 2014 (test)
45.8APmaskFasterViT-4
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| FasterViT-4Backbone=FasterViT-4, Throughput (im/sec)=117, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 45.8 | 69.1 | 49.8 | |
| ConvNeXt-BBackbone=ConvNeXt-B, Throughput (im/sec)=101, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 45.6 | 68.9 | 49.5 | |
| FasterViT-3Backbone=FasterViT-3, Throughput (im/sec)=159, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 45.4 | 68.7 | 49.3 | |
| FasterViT-2Backbone=FasterViT-2, Throughput (im/sec)=287, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 45.2 | 68.4 | 49 | |
| Swin-SBackbone=Swin-S, Throughput (im/sec)=119, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 45 | 68.2 | 48.8 | |
| ConvNeXt-SBackbone=ConvNeXt-S, Throughput (im/sec)=128, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 45 | 68.4 | 49.1 | |
| Swin-BBackbone=Swin-B, Throughput (im/sec)=90, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 45 | 68.1 | 48.9 | |
| Swin-TBackbone=Swin-T, Throughput (im/sec)=161, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 43.7 | 66.6 | 47.3 | |
| ConvNeXt-TBackbone=ConvNeXt-T, Throughput (im/sec)=166, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 43.7 | 66.5 | 47.3 | |
| X101-64Backbone=X101-64, Throughput (im/sec)=86, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 41.7 | 64 | 45.1 | |
| X101-32Backbone=X101-32, Throughput (im/sec)=124, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 41.6 | 63.9 | 45.2 | |
| DeiT-Small/16Backbone=DeiT-Small/16, Throughput (im/sec)=269, Schedule=3x, Detection Framework=Cascade Mask R-CNN, Input Resolution=1280 x 8002023.06 | 41.4 | 64.2 | 44.3 |