| 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 | |