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