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.
80 lines
2.3 KiB
80 lines
2.3 KiB
Collections: |
|
- Name: FSAF |
|
Metadata: |
|
Training Data: COCO |
|
Training Techniques: |
|
- SGD with Momentum |
|
- Weight Decay |
|
Training Resources: 8x Titan-XP GPUs |
|
Architecture: |
|
- FPN |
|
- FSAF |
|
- ResNet |
|
Paper: |
|
URL: https://arxiv.org/abs/1903.00621 |
|
Title: 'Feature Selective Anchor-Free Module for Single-Shot Object Detection' |
|
README: configs/fsaf/README.md |
|
Code: |
|
URL: https://github.com/open-mmlab/mmdetection/blob/v2.1.0/mmdet/models/detectors/fsaf.py#L6 |
|
Version: v2.1.0 |
|
|
|
Models: |
|
- Name: fsaf_r50_fpn_1x_coco |
|
In Collection: FSAF |
|
Config: configs/fsaf/fsaf_r50_fpn_1x_coco.py |
|
Metadata: |
|
Training Memory (GB): 3.15 |
|
inference time (ms/im): |
|
- value: 76.92 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 12 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 37.4 |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r50_fpn_1x_coco/fsaf_r50_fpn_1x_coco-94ccc51f.pth |
|
|
|
- Name: fsaf_r101_fpn_1x_coco |
|
In Collection: FSAF |
|
Config: configs/fsaf/fsaf_r101_fpn_1x_coco.py |
|
Metadata: |
|
Training Memory (GB): 5.08 |
|
inference time (ms/im): |
|
- value: 92.59 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 12 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 39.3 (37.9) |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_r101_fpn_1x_coco/fsaf_r101_fpn_1x_coco-9e71098f.pth |
|
|
|
- Name: fsaf_x101_64x4d_fpn_1x_coco |
|
In Collection: FSAF |
|
Config: configs/fsaf/fsaf_x101_64x4d_fpn_1x_coco.py |
|
Metadata: |
|
Training Memory (GB): 9.38 |
|
inference time (ms/im): |
|
- value: 178.57 |
|
hardware: V100 |
|
backend: PyTorch |
|
batch size: 1 |
|
mode: FP32 |
|
resolution: (800, 1333) |
|
Epochs: 12 |
|
Results: |
|
- Task: Object Detection |
|
Dataset: COCO |
|
Metrics: |
|
box AP: 42.4 (41.0) |
|
Weights: https://download.openmmlab.com/mmdetection/v2.0/fsaf/fsaf_x101_64x4d_fpn_1x_coco/fsaf_x101_64x4d_fpn_1x_coco-e3f6e6fd.pth
|
|
|