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metafile.yml
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Collections:
- Name: Temporal RoI Align
Metadata:
Training Data: ImageNet DET, ImageNet VID
Training Techniques:
- SGD with Momentum
Training Resources: 8x V100 GPUs
Architecture:
- ResNet
Paper:
URL: https://ojs.aaai.org/index.php/AAAI/article/view/16234
Title: Temporal ROI Align for Video Object Recognition
README: configs/vid/temporal_roi_align/README.md
Models:
- Name: selsa_troialign_faster_rcnn_r50_dc5_7e_imagenetvid
In Collection: Temporal RoI Align
Config: configs/vid/temporal_roi_align/selsa_troialign_faster_rcnn_r50_dc5_7e_imagenetvid.py
Metadata:
Training Memory (GB): 4.14
Results:
- Task: Video Object Detection
Dataset: ImageNet VID
Metrics:
box [email protected]: 79.8
Weights: https://download.openmmlab.com/mmtracking/vid/temporal_roi_align/selsa_troialign_faster_rcnn_r50_dc5_7e_imagenetvid/selsa_troialign_faster_rcnn_r50_dc5_7e_imagenetvid_20210820_162714-939fd657.pth
- Name: selsa_troialign_faster_rcnn_r101_dc5_7e_imagenetvid
In Collection: Temporal RoI Align
Config: configs/vid/temporal_roi_align/selsa_troialign_faster_rcnn_r101_dc5_7e_imagenetvid.py
Metadata:
Training Memory (GB): 5.83
Results:
- Task: Video Object Detection
Dataset: ImageNet VID
Metrics:
box [email protected]: 82.6
Weights: https://download.openmmlab.com/mmtracking/vid/temporal_roi_align/selsa_troialign_faster_rcnn_r101_dc5_7e_imagenetvid/selsa_troialign_faster_rcnn_r101_dc5_7e_imagenetvid_20210822_111621-22cb96b9.pth
- Name: selsa_troialign_faster_rcnn_x101_dc5_7e_imagenetvid
In Collection: Temporal RoI Align
Config: configs/vid/temporal_roi_align/selsa_troialign_faster_rcnn_x101_dc5_7e_imagenetvid.py
Metadata:
Training Memory (GB): 9.74
Results:
- Task: Video Object Detection
Dataset: ImageNet VID
Metrics:
box [email protected]: 84.1
Weights: https://download.openmmlab.com/mmtracking/vid/temporal_roi_align/selsa_troialign_faster_rcnn_x101_dc5_7e_imagenetvid/selsa_troialign_faster_rcnn_x101_dc5_7e_imagenetvid_20210822_164036-4471ac42.pth