Collections: - Name: VFNet Metadata: Training Data: COCO Training Techniques: - SGD with Momentum - Weight Decay Training Resources: 8x V100 GPUs Architecture: - FPN - ResNet - Varifocal Loss Paper: URL: https://arxiv.org/abs/2008.13367 Title: 'VarifocalNet: An IoU-aware Dense Object Detector' README: configs/vfnet/README.md Code: URL: https://github.com/open-mmlab/mmdetection/blob/v2.6.0/mmdet/models/detectors/vfnet.py#L6 Version: v2.6.0 Models: - Name: vfnet_r50_fpn_1x_coco In Collection: VFNet Config: configs/vfnet/vfnet_r50_fpn_1x_coco.py Metadata: Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 41.6 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r50_fpn_1x_coco/vfnet_r50_fpn_1x_coco_20201027-38db6f58.pth - Name: vfnet_r50_fpn_mstrain_2x_coco In Collection: VFNet Config: configs/vfnet/vfnet_r50_fpn_mstrain_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 44.8 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r50_fpn_mstrain_2x_coco/vfnet_r50_fpn_mstrain_2x_coco_20201027-7cc75bd2.pth - Name: vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco In Collection: VFNet Config: configs/vfnet/vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 48.0 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_r50_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-6879c318.pth - Name: vfnet_r101_fpn_1x_coco In Collection: VFNet Config: configs/vfnet/vfnet_r101_fpn_1x_coco.py Metadata: Epochs: 12 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 43.6 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r101_fpn_1x_coco/vfnet_r101_fpn_1x_coco_20201027pth-c831ece7.pth - Name: vfnet_r101_fpn_mstrain_2x_coco In Collection: VFNet Config: configs/vfnet/vfnet_r101_fpn_mstrain_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 46.7 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r101_fpn_mstrain_2x_coco/vfnet_r101_fpn_mstrain_2x_coco_20201027pth-4a5d53f1.pth - Name: vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco In Collection: VFNet Config: configs/vfnet/vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 49.2 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_r101_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-7729adb5.pth - Name: vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco In Collection: VFNet Config: configs/vfnet/vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 50.0 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_x101_32x4d_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-d300a6fc.pth - Name: vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco In Collection: VFNet Config: configs/vfnet/vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco.py Metadata: Epochs: 24 Results: - Task: Object Detection Dataset: COCO Metrics: box AP: 50.8 Weights: https://download.openmmlab.com/mmdetection/v2.0/vfnet/vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco/vfnet_x101_64x4d_fpn_mdconv_c3-c5_mstrain_2x_coco_20201027pth-b5f6da5e.pth