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David Feaster
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Surgical-Bleeding-AMAGI
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[6d389a]: / configs / detection / lfb / metafile.yml

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Collections:

- Name: LFB

  README: configs/detection/lfb/README.md

  Paper:

    URL: https://arxiv.org/abs/1812.05038

    Title: Long-Term Feature Banks for Detailed Video Understanding

Models:

- Config: configs/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py

  In Collection: LFB

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 20

    Input: 4x16

    Pretrained: Kinetics-400

    Resolution: short-side 256

    Training Data: AVA v2.1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py

  Results:

  - Dataset: AVA v2.1

    Metrics:

      mAP: 24.11

    Task: Spatial Temporal Action Detection

  Training Json Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210224_125052.log.json

  Training Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210224_125052.log

  Weights: https://download.openmmlab.com/mmaction/detection/lfb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/lfb_nl_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb_20210224-2ae136d9.pth

- Config: configs/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py

  In Collection: LFB

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 20

    Input: 4x16

    Pretrained: Kinetics-400

    Resolution: short-side 256

    Training Data: AVA v2.1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py

  Results:

  - Dataset: AVA v2.1

    Metrics:

      mAP: 20.17

    Task: Spatial Temporal Action Detection

  Training Json Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log.json

  Training Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log

  Weights: https://download.openmmlab.com/mmaction/detection/lfb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/lfb_avg_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb_20210301-19c330b7.pth

- Config: configs/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py

  In Collection: LFB

  Metadata:

    Architecture: ResNet50

    Batch Size: 12

    Epochs: 20

    Input: 4x16

    Pretrained: Kinetics-400

    Resolution: short-side 256

    Training Data: AVA v2.1

    Training Resources: 8 GPUs

  Modality: RGB

  Name: lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb.py

  Results:

  - Dataset: AVA v2.1

    Metrics:

      mAP: 22.15

    Task: Spatial Temporal Action Detection

  Training Json Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log.json

  Training Log: https://download.openmmlab.com/mmaction/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/20210301_124812.log

  Weights: https://download.openmmlab.com/mmaction/detection/lfb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb/lfb_max_kinetics_pretrained_slowonly_r50_4x16x1_20e_ava_rgb_20210301-37efcd15.pth