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Collections:
- Name: CARAFE
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- RPN
- FPN_CARAFE
- ResNet
- RoIPool
Paper:
URL: https://arxiv.org/abs/1905.02188
Title: 'CARAFE: Content-Aware ReAssembly of FEatures'
README: configs/carafe/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.12.0/mmdet/models/necks/fpn_carafe.py#L11
Version: v2.12.0
Models:
- Name: faster_rcnn_r50_fpn_carafe_1x_coco
In Collection: CARAFE
Config: configs/carafe/faster_rcnn_r50_fpn_carafe_1x_coco.py
Metadata:
Training Memory (GB): 4.26
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.6
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/carafe/faster_rcnn_r50_fpn_carafe_1x_coco/faster_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.386_20200504_175733-385a75b7.pth
- Name: mask_rcnn_r50_fpn_carafe_1x_coco
In Collection: CARAFE
Config: configs/carafe/mask_rcnn_r50_fpn_carafe_1x_coco.py
Metadata:
Training Memory (GB): 4.31
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 39.3
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 35.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/carafe/mask_rcnn_r50_fpn_carafe_1x_coco/mask_rcnn_r50_fpn_carafe_1x_coco_bbox_mAP-0.393__segm_mAP-0.358_20200503_135957-8687f195.pth
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