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- Collections:
- - Name: PointRend
- Metadata:
- Training Data: COCO
- Training Techniques:
- - SGD with Momentum
- - Weight Decay
- Training Resources: 8x V100 GPUs
- Architecture:
- - PointRend
- - FPN
- - ResNet
- Paper:
- URL: https://arxiv.org/abs/1912.08193
- Title: 'PointRend: Image Segmentation as Rendering'
- README: configs/point_rend/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.2.0/mmdet/models/detectors/point_rend.py#L6
- Version: v2.2.0
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- Models:
- - Name: point_rend_r50_caffe_fpn_mstrain_1x_coco
- In Collection: PointRend
- Config: configs/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco.py
- Metadata:
- Training Memory (GB): 4.6
- Epochs: 12
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 38.4
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 36.3
- Weights: https://download.openmmlab.com/mmdetection/v2.0/point_rend/point_rend_r50_caffe_fpn_mstrain_1x_coco/point_rend_r50_caffe_fpn_mstrain_1x_coco-1bcb5fb4.pth
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- - Name: point_rend_r50_caffe_fpn_mstrain_3x_coco
- In Collection: PointRend
- Config: configs/point_rend/point_rend_r50_caffe_fpn_mstrain_3x_coco.py
- Metadata:
- Training Memory (GB): 4.6
- Epochs: 36
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 41.0
- - Task: Instance Segmentation
- Dataset: COCO
- Metrics:
- mask AP: 38.0
- Weights: https://download.openmmlab.com/mmdetection/v2.0/point_rend/point_rend_r50_caffe_fpn_mstrain_3x_coco/point_rend_r50_caffe_fpn_mstrain_3x_coco-e0ebb6b7.pth
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