metafile.yml
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Collections:
- Name: InstaBoost
Metadata:
Training Data: COCO
Training Techniques:
- InstaBoost
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Paper:
URL: https://arxiv.org/abs/1908.07801
Title: 'Instaboost: Boosting instance segmentation via probability map guided copy-pasting'
README: configs/instaboost/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/datasets/pipelines/instaboost.py#L7
Version: v2.0.0
Models:
- Name: mask_rcnn_r50_fpn_instaboost_4x_coco
In Collection: InstaBoost
Config: configs/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco.py
Metadata:
Training Memory (GB): 4.4
inference time (ms/im):
- value: 57.14
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 48
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.6
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 36.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/instaboost/mask_rcnn_r50_fpn_instaboost_4x_coco/mask_rcnn_r50_fpn_instaboost_4x_coco_20200307-d025f83a.pth
- Name: mask_rcnn_r101_fpn_instaboost_4x_coco
In Collection: InstaBoost
Config: configs/instaboost/mask_rcnn_r101_fpn_instaboost_4x_coco.py
Metadata:
Training Memory (GB): 6.4
Epochs: 48
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.5
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/instaboost/mask_rcnn_r101_fpn_instaboost_4x_coco/mask_rcnn_r101_fpn_instaboost_4x_coco_20200703_235738-f23f3a5f.pth
- Name: mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco
In Collection: InstaBoost
Config: configs/instaboost/mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco.py
Metadata:
Training Memory (GB): 10.7
Epochs: 48
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 44.7
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 39.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/instaboost/mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco/mask_rcnn_x101_64x4d_fpn_instaboost_4x_coco_20200515_080947-8ed58c1b.pth
- Name: cascade_mask_rcnn_r50_fpn_instaboost_4x_coco
In Collection: InstaBoost
Config: configs/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco.py
Metadata:
Training Memory (GB): 6.0
inference time (ms/im):
- value: 83.33
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 48
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 43.7
- Task: Instance Segmentation
Dataset: COCO
Metrics:
mask AP: 38.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/instaboost/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco/cascade_mask_rcnn_r50_fpn_instaboost_4x_coco_20200307-c19d98d9.pth