| 2d-object-detection-on-sardet-100k | RetinaNet | #11 | box mAP: 47.4 |
| dense-object-detection-on-sku-110k | RetinaNet | #4 | AP: 45.5AP75: .389 |
| long-tail-learning-on-coco-mlt | Focal Loss(ResNet-50) | #6 | Average mAP: 49.46 |
| long-tail-learning-on-voc-mlt | Focal Loss(ResNet-50) | #8 | Average mAP: 73.88 |
| object-counting-on-carpk | RetinaNet (2018) | #9 | MAE: 24.58 |
| object-detection-on-coco | RetinaNet (ResNeXt-101-FPN) | #184 | box mAP: 40.8AP50: 61.1AP75: 44.1APS: 24.1APM: 44.2APL: 51.2… |
| object-detection-on-coco | RetinaNet (ResNet-101-FPN) | #204 | box mAP: 39.1AP50: 59.1AP75: 42.3APS: 21.8APM: 42.7APL: 50.2… |
| object-detection-on-coco-o | RetinaNet
(ResNet-50) | #39 | Average mAP: 16.6Effective Robustness: 0.18 |
| pedestrian-detection-on-tju-ped-campus | RetinaNet | #3 | R (miss rate): 34.73RS (miss rate): 82.99HO (miss rate): 71.31… |
| pedestrian-detection-on-tju-ped-traffic | RetinaNet | #3 | R (miss rate): 23.89RS (miss rate): 37.92HO (miss rate): 61.60… |