| 1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283 |
- Collections:
- - Name: CornerNet
- Metadata:
- Training Data: COCO
- Training Techniques:
- - Adam
- Training Resources: 8x V100 GPUs
- Architecture:
- - Corner Pooling
- - Stacked Hourglass Network
- Paper:
- URL: https://arxiv.org/abs/1808.01244
- Title: 'CornerNet: Detecting Objects as Paired Keypoints'
- README: configs/cornernet/README.md
- Code:
- URL: https://github.com/open-mmlab/mmdetection/blob/v2.3.0/mmdet/models/detectors/cornernet.py#L9
- Version: v2.3.0
- Models:
- - Name: cornernet_hourglass104_10xb5-crop511-210e-mstest_coco
- In Collection: CornerNet
- Config: configs/cornernet/cornernet_hourglass104_10xb5-crop511-210e-mstest_coco.py
- Metadata:
- Training Resources: 10x V100 GPUs
- Batch Size: 50
- Training Memory (GB): 13.9
- inference time (ms/im):
- - value: 238.1
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 210
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 41.2
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cornernet/cornernet_hourglass104_mstest_10x5_210e_coco/cornernet_hourglass104_mstest_10x5_210e_coco_20200824_185720-5fefbf1c.pth
- - Name: cornernet_hourglass104_8xb6-210e-mstest_coco
- In Collection: CornerNet
- Config: configs/cornernet/cornernet_hourglass104_8xb6-210e-mstest_coco.py
- Metadata:
- Batch Size: 48
- Training Memory (GB): 15.9
- inference time (ms/im):
- - value: 238.1
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 210
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 41.2
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cornernet/cornernet_hourglass104_mstest_8x6_210e_coco/cornernet_hourglass104_mstest_8x6_210e_coco_20200825_150618-79b44c30.pth
- - Name: cornernet_hourglass104_32xb3-210e-mstest_coco
- In Collection: CornerNet
- Config: configs/cornernet/cornernet_hourglass104_32xb3-210e-mstest_coco.py
- Metadata:
- Training Resources: 32x V100 GPUs
- Batch Size: 96
- Training Memory (GB): 9.5
- inference time (ms/im):
- - value: 256.41
- hardware: V100
- backend: PyTorch
- batch size: 1
- mode: FP32
- resolution: (800, 1333)
- Epochs: 210
- Results:
- - Task: Object Detection
- Dataset: COCO
- Metrics:
- box AP: 40.4
- Weights: https://download.openmmlab.com/mmdetection/v2.0/cornernet/cornernet_hourglass104_mstest_32x3_210e_coco/cornernet_hourglass104_mstest_32x3_210e_coco_20200819_203110-1efaea91.pth
|
