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