56 lines
1.9 KiB
YAML
56 lines
1.9 KiB
YAML
Collections:
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- Name: TridentNet
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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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- ResNet
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- TridentNet Block
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Paper:
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URL: https://arxiv.org/abs/1901.01892
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Title: 'Scale-Aware Trident Networks for Object Detection'
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README: configs/tridentnet/README.md
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Code:
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URL: https://github.com/open-mmlab/mmdetection/blob/v2.8.0/mmdet/models/detectors/trident_faster_rcnn.py#L6
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Version: v2.8.0
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Models:
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- Name: tridentnet_r50_caffe_1x_coco
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In Collection: TridentNet
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Config: configs/tridentnet/tridentnet_r50_caffe_1x_coco.py
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Metadata:
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Epochs: 12
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 37.7
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Weights: https://download.openmmlab.com/mmdetection/v2.0/tridentnet/tridentnet_r50_caffe_1x_coco/tridentnet_r50_caffe_1x_coco_20201230_141838-2ec0b530.pth
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- Name: tridentnet_r50_caffe_mstrain_1x_coco
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In Collection: TridentNet
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Config: configs/tridentnet/tridentnet_r50_caffe_mstrain_1x_coco.py
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Metadata:
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Epochs: 12
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 37.6
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Weights: https://download.openmmlab.com/mmdetection/v2.0/tridentnet/tridentnet_r50_caffe_mstrain_1x_coco/tridentnet_r50_caffe_mstrain_1x_coco_20201230_141839-6ce55ccb.pth
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- Name: tridentnet_r50_caffe_mstrain_3x_coco
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In Collection: TridentNet
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Config: configs/tridentnet/tridentnet_r50_caffe_mstrain_3x_coco.py
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Metadata:
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Epochs: 36
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Results:
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- Task: Object Detection
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Dataset: COCO
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Metrics:
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box AP: 40.3
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Weights: https://download.openmmlab.com/mmdetection/v2.0/tridentnet/tridentnet_r50_caffe_mstrain_3x_coco/tridentnet_r50_caffe_mstrain_3x_coco_20201130_100539-46d227ba.pth
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