File size: 3,103 Bytes
3bbb319 |
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 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 |
Collections:
- Name: GHM
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- GHM-C
- GHM-R
- FPN
- ResNet
Paper:
URL: https://arxiv.org/abs/1811.05181
Title: 'Gradient Harmonized Single-stage Detector'
README: configs/ghm/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/losses/ghm_loss.py#L21
Version: v2.0.0
Models:
- Name: retinanet_ghm_r50_fpn_1x_coco
In Collection: GHM
Config: configs/ghm/retinanet_ghm_r50_fpn_1x_coco.py
Metadata:
Training Memory (GB): 4.0
inference time (ms/im):
- value: 303.03
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/ghm/retinanet_ghm_r50_fpn_1x_coco/retinanet_ghm_r50_fpn_1x_coco_20200130-a437fda3.pth
- Name: retinanet_ghm_r101_fpn_1x_coco
In Collection: GHM
Config: configs/ghm/retinanet_ghm_r101_fpn_1x_coco.py
Metadata:
Training Memory (GB): 6.0
inference time (ms/im):
- value: 227.27
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 39.1
Weights: https://download.openmmlab.com/mmdetection/v2.0/ghm/retinanet_ghm_r101_fpn_1x_coco/retinanet_ghm_r101_fpn_1x_coco_20200130-c148ee8f.pth
- Name: retinanet_ghm_x101_32x4d_fpn_1x_coco
In Collection: GHM
Config: configs/ghm/retinanet_ghm_x101_32x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 7.2
inference time (ms/im):
- value: 196.08
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/ghm/retinanet_ghm_x101_32x4d_fpn_1x_coco/retinanet_ghm_x101_32x4d_fpn_1x_coco_20200131-e4333bd0.pth
- Name: retinanet_ghm_x101_64x4d_fpn_1x_coco
In Collection: GHM
Config: configs/ghm/retinanet_ghm_x101_64x4d_fpn_1x_coco.py
Metadata:
Training Memory (GB): 10.3
inference time (ms/im):
- value: 192.31
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 41.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/ghm/retinanet_ghm_x101_64x4d_fpn_1x_coco/retinanet_ghm_x101_64x4d_fpn_1x_coco_20200131-dd381cef.pth
|