metafile.yml
1.7 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
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
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
- 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