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metafile.yml
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Collections:
- Name: CenterNet
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x TITANXP GPUs
Architecture:
- ResNet
Paper:
URL: https://arxiv.org/abs/1904.07850
Title: 'Objects as Points'
README: configs/centernet/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.13.0/mmdet/models/detectors/centernet.py#L10
Version: v2.13.0
Models:
- Name: centernet_r18-dcnv2_8xb16-crop512-140e_coco
In Collection: CenterNet
Config: configs/centernet/centernet_r18-dcnv2_8xb16-crop512-140e_coco.py
Metadata:
Batch Size: 128
Training Memory (GB): 3.47
Epochs: 140
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 29.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/centernet/centernet_resnet18_dcnv2_140e_coco/centernet_resnet18_dcnv2_140e_coco_20210702_155131-c8cd631f.pth
- Name: centernet_r18_8xb16-crop512-140e_coco
In Collection: CenterNet
Config: configs/centernet/centernet_r18_8xb16-crop512-140e_coco.py
Metadata:
Batch Size: 128
Training Memory (GB): 3.45
Epochs: 140
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 25.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/centernet/centernet_resnet18_140e_coco/centernet_resnet18_140e_coco_20210705_093630-bb5b3bf7.pth
- Name: centernet-update_r50-caffe_fpn_ms-1x_coco
In Collection: CenterNet
Config: configs/centernet/centernet-update_r50-caffe_fpn_ms-1x_coco.py
Metadata:
Batch Size: 16
Training Memory (GB): 3.3
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.2
Weights: https://download.openmmlab.com/mmdetection/v3.0/centernet/centernet-update_r50-caffe_fpn_ms-1x_coco/centernet-update_r50-caffe_fpn_ms-1x_coco_20230512_203845-8306baf2.pth