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Surgical-Bleeding-AMAGI
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Collections:

- Name: CSN

  README: configs/recognition/csn/README.md

  Paper:

    URL: https://arxiv.org/abs/1904.02811

    Title: Video Classification with Channel-Separated Convolutional Networks

Models:

- Config: configs/recognition/csn/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet152

    Batch Size: 3

    Epochs: 58

    FLOPs: 98096676864

    Parameters: 29703568

    Pretrained: IG65M

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 80.14

      Top 5 Accuracy: 94.93

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb/20200728_031952.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb/20200728_031952.log

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb/ircsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb_20200803-fc66ce8d.pth

- Config: configs/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet152

    Batch Size: 3

    Epochs: 58

    FLOPs: 98096676864

    Parameters: 29703568

    Pretrained: IG65M

    Resolution: short-side 320

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 82.76

      Top 5 Accuracy: 95.68

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb/20200809_053132.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb/20200809_053132.log

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb/ircsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb_20200812-9037a758.pth

- Config: configs/recognition/csn/ipcsn_bnfrozen_r152_32x2x1_180e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet152

    Epochs: 180

    FLOPs: 110337228800

    Parameters: 33016592

    Pretrained: None

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: ipcsn_bnfrozen_r152_32x2x1_180e_kinetics400_rgb

  Converted From:

    Weights: https://www.dropbox.com/s/3fihu6ti60047mu/ipCSN_152_kinetics_from_scratch_f129594342.pkl?dl=0

    Code: https://github.com/facebookresearch/VMZ/tree/b61b08194bc3273bef4c45fdfdd36c56c8579ff3

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 77.8

      Top 5 Accuracy: 92.8

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ipcsn_from_scratch_r152_32x2x1_180e_kinetics400_rgb_20210617-d565828d.pth

- Config: configs/recognition/csn/ipcsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet152

    Epochs: 58

    FLOPs: 110337228800

    Parameters: 33016592

    Pretrained: IG65M

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: ipcsn_ig65m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb

  Converted From:

    Weights: https://www.dropbox.com/s/zpp3p0vn2i7bibl/ipCSN_152_ft_kinetics_from_ig65m_f133090949.pkl?dl=0

    Code: https://github.com/facebookresearch/VMZ/tree/b61b08194bc3273bef4c45fdfdd36c56c8579ff3

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 82.5

      Top 5 Accuracy: 95.3

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ipcsn_ig65m_pretrained_r152_32x2x1_58e_kinetics400_rgb_20210617-c3be9793.pth

- Config: configs/recognition/csn/ipcsn_sports1m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet152

    Epochs: 58

    FLOPs: 110337228800

    Parameters: 33016592

    Pretrained: Sports1M

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: ipcsn_sports1m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb

  Converted From:

    Weights: https://www.dropbox.com/s/ir7cr0hda36knux/ipCSN_152_ft_kinetics_from_sports1m_f111279053.pkl?dl=0

    Code: https://github.com/facebookresearch/VMZ/tree/b61b08194bc3273bef4c45fdfdd36c56c8579ff3

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 78.8

      Top 5 Accuracy: 93.5

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ipcsn_sports1m_pretrained_r152_32x2x1_58e_kinetics400_rgb_20210617-3367437a.pth

- Config: configs/recognition/csn/ircsn_bnfrozen_r152_32x2x1_180e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet152

    Epochs: 180

    FLOPs: 98096676864

    Parameters: 29703568

    Pretrained: None

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: ircsn_bnfrozen_r152_32x2x1_180e_kinetics400_rgb

  Converted From:

    Weights: https://www.dropbox.com/s/46gcm7up60ssx5c/irCSN_152_kinetics_from_scratch_f98268019.pkl?dl=0

    Code: https://github.com/facebookresearch/VMZ/tree/b61b08194bc3273bef4c45fdfdd36c56c8579ff3

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 76.5

      Top 5 Accuracy: 92.1

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ircsn_from_scratch_r152_32x2x1_180e_kinetics400_rgb_20210617-5c933ae1.pth

- Config: configs/recognition/csn/ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet50

    Epochs: 58

    FLOPs: 56209211392

    Parameters: 13131152

    Pretrained: IG65M

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: ircsn_ig65m_pretrained_bnfrozen_r50_32x2x1_58e_kinetics400_rgb

  Converted From:

    Weights: https://www.dropbox.com/s/gmd8r87l3wmkn3h/irCSN_152_ft_kinetics_from_ig65m_f126851907.pkl?dl=0

    Code: https://github.com/facebookresearch/VMZ/tree/b61b08194bc3273bef4c45fdfdd36c56c8579ff3

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 79.0

      Top 5 Accuracy: 94.2

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ircsn_ig65m_pretrained_r50_32x2x1_58e_kinetics400_rgb_20210617-86d33018.pth

- Config: configs/recognition/csn/ircsn_sports1m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet152

    Epochs: 58

    FLOPs: 98096676864

    Parameters: 29703568

    Pretrained: Sports1M

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: ircsn_sports1m_pretrained_bnfrozen_r152_32x2x1_58e_kinetics400_rgb

  Converted From:

    Weights: https://www.dropbox.com/s/zuoj1aqouh6bo6k/irCSN_152_ft_kinetics_from_sports1m_f101599884.pkl?dl=0

    Code: https://github.com/facebookresearch/VMZ/tree/b61b08194bc3273bef4c45fdfdd36c56c8579ff3

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 78.2

      Top 5 Accuracy: 93.0

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/vmz/vmz_ircsn_sports1m_pretrained_r152_32x2x1_58e_kinetics400_rgb_20210617-b9b10241.pth

- Config: configs/recognition/csn/ircsn_bnfrozen_r50_32x2x1_180e_kinetics400_rgb.py

  In Collection: CSN

  Metadata:

    Architecture: ResNet50

    Epochs: 58

    FLOPs: 56209211392

    Parameters: 13131152

    Pretrained: None

    Resolution: short-side 320

    Training Data: Kinetics-400

  Modality: RGB

  Name: ircsn_bnfrozen_r50_32x2x1_180e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.6

      top5 accuracy: 91.3

    Task: Action Recognition

  Weights: https://download.openmmlab.com/mmaction/recognition/csn/ircsn_bnfrozen_r50_32x2x1_180e_kinetics400_rgb/ircsn_bnfrozen_r50_32x2x1_180e_kinetics400_rgb_20210618-4e29e2e8.pth