Object Detection on 360-Indoor (test)
35.6mAP@0.5PanoSwinT92
Evaluation Results
| Method | Links | |
|---|---|---|
| PanoSwinT92Pre-training=MSCOCO, parameters=45M2023.08 | 35.6 | |
| SwinTPre-training=MSCOCO, parameters=45M2023.08 | 33.8 | |
| ResNet-50Pre-training=MSCOCO, parameters=72M2023.08 | 33.1 | |
| PanoSwinT+parameters=47M2023.08 | 29.4 | |
| PanoSwinTparameters=47M2023.08 | 28.6 | |
| PanoSwinT92parameters=45M2023.08 | 28 | |
| SwinTparameters=45M2023.08 | 24 | |
| ResNet-50Operator=SphereConv, parameters=72M2023.08 | 21.1 | |
| ResNet-50parameters=72M2023.08 | 20.6 |