36 lines
1.1 KiB
YAML
36 lines
1.1 KiB
YAML
Collections:
|
|
- Name: Dynamic R-CNN
|
|
Metadata:
|
|
Training Data: COCO
|
|
Training Techniques:
|
|
- SGD with Momentum
|
|
- Weight Decay
|
|
Training Resources: 8x V100 GPUs
|
|
Architecture:
|
|
- Dynamic R-CNN
|
|
- FPN
|
|
- RPN
|
|
- ResNet
|
|
- RoIAlign
|
|
Paper:
|
|
URL: https://arxiv.org/pdf/2004.06002
|
|
Title: 'Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training'
|
|
README: configs/dynamic_rcnn/README.md
|
|
Code:
|
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.2.0/mmdet/models/roi_heads/dynamic_roi_head.py#L11
|
|
Version: v2.2.0
|
|
|
|
Models:
|
|
- Name: dynamic_rcnn_r50_fpn_1x_coco
|
|
In Collection: Dynamic R-CNN
|
|
Config: configs/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x_coco.py
|
|
Metadata:
|
|
Training Memory (GB): 3.8
|
|
Epochs: 12
|
|
Results:
|
|
- Task: Object Detection
|
|
Dataset: COCO
|
|
Metrics:
|
|
box AP: 38.9
|
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/dynamic_rcnn/dynamic_rcnn_r50_fpn_1x/dynamic_rcnn_r50_fpn_1x-62a3f276.pth
|