42 lines
1.3 KiB
YAML
42 lines
1.3 KiB
YAML
Collections:
|
|
- Name: Rethinking Classification and Localization for Object Detection
|
|
Metadata:
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- FPN
|
|
- RPN
|
|
- ResNet
|
|
- RoIAlign
|
|
Paper:
|
|
URL: https://arxiv.org/pdf/1904.06493
|
|
Title: 'Rethinking Classification and Localization for Object Detection'
|
|
README: configs/double_heads/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/roi_heads/double_roi_head.py#L6
|
|
Version: v2.0.0
|
|
|
|
Models:
|
|
- Name: dh_faster_rcnn_r50_fpn_1x_coco
|
|
In Collection: Rethinking Classification and Localization for Object Detection
|
|
Config: configs/double_heads/dh_faster_rcnn_r50_fpn_1x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 6.8
|
|
inference time (ms/im):
|
|
- value: 105.26
|
|
hardware: V100
|
|
backend: PyTorch
|
|
batch size: 1
|
|
mode: FP32
|
|
resolution: (800, 1333)
|
|
Epochs: 12
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 40.0
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/double_heads/dh_faster_rcnn_r50_fpn_1x_coco/dh_faster_rcnn_r50_fpn_1x_coco_20200130-586b67df.pth
|