OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
59 lines
1.8 KiB
59 lines
1.8 KiB
Collections: |
|
- Name: NAS-FPN |
|
Metadata: |
|
Training Data: COCO |
|
Training Techniques: |
|
- SGD with Momentum |
|
- Weight Decay |
|
Training Resources: 8x V100 GPUs |
|
Architecture: |
|
- NAS-FPN |
|
- ResNet |
|
Paper: |
|
URL: https://arxiv.org/abs/1904.07392 |
|
Title: 'NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection' |
|
README: configs/nas_fpn/README.md |
|
Code: |
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/necks/nas_fpn.py#L67 |
|
Version: v2.0.0 |
|
|
|
Models: |
|
- Name: retinanet_r50_fpn_crop640_50e_coco |
|
In Collection: NAS-FPN |
|
Config: configs/nas_fpn/retinanet_r50_fpn_crop640_50e_coco.py |
|
Metadata: |
|
Training Memory (GB): 12.9 |
|
inference time (ms/im): |
|
- value: 43.67 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 50 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 37.9 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/nas_fpn/retinanet_r50_fpn_crop640_50e_coco/retinanet_r50_fpn_crop640_50e_coco-9b953d76.pth |
|
|
|
- Name: retinanet_r50_nasfpn_crop640_50e_coco |
|
In Collection: NAS-FPN |
|
Config: configs/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco.py |
|
Metadata: |
|
Training Memory (GB): 13.2 |
|
inference time (ms/im): |
|
- value: 43.48 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 50 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 40.5 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/nas_fpn/retinanet_r50_nasfpn_crop640_50e_coco/retinanet_r50_nasfpn_crop640_50e_coco-0ad1f644.pth
|
|
|