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metafile.yml
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Collections:
- Name: FoveaBox
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 4x V100 GPUs
Architecture:
- FPN
- ResNet
Paper:
URL: https://arxiv.org/abs/1904.03797
Title: 'FoveaBox: Beyond Anchor-based Object Detector'
README: configs/foveabox/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.0.0/mmdet/models/detectors/fovea.py#L6
Version: v2.0.0
Models:
- Name: fovea_r50_fpn_4xb4-1x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r50_fpn_4xb4-1x_coco.py
Metadata:
Training Memory (GB): 5.6
inference time (ms/im):
- value: 41.49
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 36.5
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_r50_fpn_4x4_1x_coco/fovea_r50_fpn_4x4_1x_coco_20200219-ee4d5303.pth
- Name: fovea_r50_fpn_4xb4-2x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r50_fpn_4xb4-2x_coco.py
Metadata:
Training Memory (GB): 5.6
inference time (ms/im):
- value: 41.49
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.2
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_r50_fpn_4x4_2x_coco/fovea_r50_fpn_4x4_2x_coco_20200203-2df792b1.pth
- Name: fovea_r50_fpn_gn-head-align_4xb4-2x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r50_fpn_gn-head-align_4xb4-2x_coco.py
Metadata:
Training Memory (GB): 8.1
inference time (ms/im):
- value: 51.55
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.9
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_align_r50_fpn_gn-head_4x4_2x_coco/fovea_align_r50_fpn_gn-head_4x4_2x_coco_20200203-8987880d.pth
- Name: fovea_r50_fpn_gn-head-align_ms-640-800-4xb4-2x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r50_fpn_gn-head-align_ms-640-800-4xb4-2x_coco.py
Metadata:
Training Memory (GB): 8.1
inference time (ms/im):
- value: 54.64
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.4
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_align_r50_fpn_gn-head_mstrain_640-800_4x4_2x_coco/fovea_align_r50_fpn_gn-head_mstrain_640-800_4x4_2x_coco_20200205-85ce26cb.pth
- Name: fovea_r101_fpn_4xb4-1x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r101_fpn_4xb4-1x_coco.py
Metadata:
Training Memory (GB): 9.2
inference time (ms/im):
- value: 57.47
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 38.6
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_r101_fpn_4x4_1x_coco/fovea_r101_fpn_4x4_1x_coco_20200219-05e38f1c.pth
- Name: fovea_r101_fpn_4xb4-2x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r101_fpn_4xb4-2x_coco.py
Metadata:
Training Memory (GB): 11.7
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_r101_fpn_4x4_2x_coco/fovea_r101_fpn_4x4_2x_coco_20200208-02320ea4.pth
- Name: fovea_r101_fpn_gn-head-align_4xb4-2x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r101_fpn_gn-head-align_4xb4-2x_coco.py
Metadata:
Training Memory (GB): 11.7
inference time (ms/im):
- value: 68.03
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_align_r101_fpn_gn-head_4x4_2x_coco/fovea_align_r101_fpn_gn-head_4x4_2x_coco_20200208-c39a027a.pth
- Name: fovea_r101_fpn_gn-head-align_ms-640-800-4xb4-2x_coco
In Collection: FoveaBox
Config: configs/foveabox/fovea_r101_fpn_gn-head-align_ms-640-800-4xb4-2x_coco.py
Metadata:
Training Memory (GB): 11.7
inference time (ms/im):
- value: 68.03
hardware: V100
backend: PyTorch
batch size: 1
mode: FP32
resolution: (800, 1333)
Epochs: 24
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 42.0
Weights: https://download.openmmlab.com/mmdetection/v2.0/foveabox/fovea_align_r101_fpn_gn-head_mstrain_640-800_4x4_2x_coco/fovea_align_r101_fpn_gn-head_mstrain_640-800_4x4_2x_coco_20200208-649c5eb6.pth