metafile.yml
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Collections:
- Name: TridentNet
Metadata:
Training Data: COCO
Training Techniques:
- SGD with Momentum
- Weight Decay
Training Resources: 8x V100 GPUs
Architecture:
- ResNet
- TridentNet Block
Paper:
URL: https://arxiv.org/abs/1901.01892
Title: 'Scale-Aware Trident Networks for Object Detection'
README: configs/tridentnet/README.md
Code:
URL: https://github.com/open-mmlab/mmdetection/blob/v2.8.0/mmdet/models/detectors/trident_faster_rcnn.py#L6
Version: v2.8.0
Models:
- Name: tridentnet_r50_caffe_1x_coco
In Collection: TridentNet
Config: configs/tridentnet/tridentnet_r50_caffe_1x_coco.py
Metadata:
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.7
Weights: https://download.openmmlab.com/mmdetection/v2.0/tridentnet/tridentnet_r50_caffe_1x_coco/tridentnet_r50_caffe_1x_coco_20201230_141838-2ec0b530.pth
- Name: tridentnet_r50_caffe_mstrain_1x_coco
In Collection: TridentNet
Config: configs/tridentnet/tridentnet_r50_caffe_mstrain_1x_coco.py
Metadata:
Epochs: 12
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 37.6
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
- Name: tridentnet_r50_caffe_mstrain_3x_coco
In Collection: TridentNet
Config: configs/tridentnet/tridentnet_r50_caffe_mstrain_3x_coco.py
Metadata:
Epochs: 36
Results:
- Task: Object Detection
Dataset: COCO
Metrics:
box AP: 40.3
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