79 lines
2.3 KiB
YAML
79 lines
2.3 KiB
YAML
Collections:
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- Name: YOLACT
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Metadata:
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Training Data: COCO
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Training Techniques:
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- SGD with Momentum
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- Weight Decay
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Training Resources: 8x V100 GPUs
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Architecture:
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- FPN
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- ResNet
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Paper:
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URL: https://arxiv.org/abs/1904.02689
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Title: 'YOLACT: Real-time Instance Segmentation'
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README: configs/yolact/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.5.0/mmdet/models/detectors/yolact.py#L9
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Version: v2.5.0
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Models:
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- Name: yolact_r50_1x8_coco
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In Collection: YOLACT
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Config: configs/yolact/yolact_r50_1x8_coco.py
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Metadata:
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Training Resources: 1x V100 GPU
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Batch Size: 8
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inference time (ms/im):
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- value: 23.53
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (550, 550)
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Results:
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 29.0
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolact/yolact_r50_1x8_coco/yolact_r50_1x8_coco_20200908-f38d58df.pth
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- Name: yolact_r50_8x8_coco
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In Collection: YOLACT
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Config: configs/yolact/yolact_r50_8x8_coco.py
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Metadata:
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Batch Size: 64
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inference time (ms/im):
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- value: 23.53
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (550, 550)
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Results:
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 28.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolact/yolact_r50_8x8_coco/yolact_r50_8x8_coco_20200908-ca34f5db.pth
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- Name: yolact_r101_1x8_coco
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In Collection: YOLACT
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Config: configs/yolact/yolact_r101_1x8_coco.py
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Metadata:
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Training Resources: 1x V100 GPU
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Batch Size: 8
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inference time (ms/im):
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- value: 29.85
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hardware: V100
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backend: PyTorch
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batch size: 1
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mode: FP32
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resolution: (550, 550)
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Results:
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- Task: Instance Segmentation
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Dataset: COCO
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Metrics:
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mask AP: 30.4
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Weights: https://download.openmmlab.com/mmdetection/v2.0/yolact/yolact_r101_1x8_coco/yolact_r101_1x8_coco_20200908-4cbe9101.pth
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