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David Feaster
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Surgical-Bleeding-AMAGI
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Collections:

- Name: I3D

  README: configs/recognition/i3d/README.md

  Paper:

    URL: https://arxiv.org/abs/1705.07750

    Title: Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Models:

- Config: configs/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 43564040192

    Parameters: 28043472

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: i3d_r50_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.68

      Top 5 Accuracy: 90.78

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb/20200614_060456.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb/20200614_060456.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb/i3d_r50_32x2x1_100e_kinetics400_rgb_20200614-c25ef9a4.pth

- Config: configs/recognition/i3d/i3d_r50_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 43564040192

    Parameters: 28043472

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: i3d_r50_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.27

      Top 5 Accuracy: 90.92

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_256p_32x2x1_100e_kinetics400_rgb/20200725_031555.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_256p_32x2x1_100e_kinetics400_rgb/20200725_031555.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_256p_32x2x1_100e_kinetics400_rgb/i3d_r50_256p_32x2x1_100e_kinetics400_rgb_20200801-7d9f44de.pth

- Config: configs/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 43564040192

    Parameters: 28043472

    Pretrained: ImageNet

    Resolution: short-side 256p

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: i3d_r50_video_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.85

      Top 5 Accuracy: 90.75

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb/20200706_143014.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb/20200706_143014.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_video_32x2x1_100e_kinetics400_rgb/i3d_r50_video_32x2x1_100e_kinetics400_rgb_20200826-e31c6f52.pth

- Config: configs/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 43564040192

    Parameters: 28043472

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 16 GPUs

  Modality: RGB

  Name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.77

      Top 5 Accuracy: 90.57

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb/20200616_230011.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb/20200616_230011.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb/i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20200616-2bbb4361.pth

- Config: configs/recognition/i3d/i3d_r50_dense_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 43564040192

    Parameters: 28043472

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.48

      Top 5 Accuracy: 91.0

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_256p_32x2x1_100e_kinetics400_rgb/20200725_031604.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_256p_32x2x1_100e_kinetics400_rgb/20200725_031604.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_dense_256p_32x2x1_100e_kinetics400_rgb/i3d_r50_dense_256p_32x2x1_100e_kinetics400_rgb_20200725-24eb54cc.pth

- Config: configs/recognition/i3d/i3d_r50_lazy_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 43564040192

    Parameters: 28043472

    Pretrained: ImageNet

    Resolution: 340x256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: i3d_r50_lazy_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 72.32

      Top 5 Accuracy: 90.72

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_32x2x1_100e_kinetics400_rgb/20200612_233836.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_32x2x1_100e_kinetics400_rgb/20200612_233836.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_32x2x1_100e_kinetics400_rgb/i3d_r50_fast_32x2x1_100e_kinetics400_rgb_20200612-000e4d2a.pth

- Config: configs/recognition/i3d/i3d_r50_lazy_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 43564040192

    Parameters: 28043472

    Pretrained: ImageNet

    Resolution: short-side 256

    Training Data: Kinetics-400

    Training Resources: 8 GPUs

  Modality: RGB

  Name: i3d_r50_lazy_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.24

      Top 5 Accuracy: 90.99

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_256p_32x2x1_100e_kinetics400_rgb/20200725_031457.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_256p_32x2x1_100e_kinetics400_rgb/20200725_031457.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_r50_fast_256p_32x2x1_100e_kinetics400_rgb/i3d_r50_fast_256p_32x2x1_100e_kinetics400_rgb_20200817-4e90d1d5.pth

- Config: configs/recognition/i3d/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 54334488576

    Parameters: 35397840

    Pretrained: ImageNet

    Resolution: short-side 256p

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 74.71

      Top 5 Accuracy: 91.81

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034054.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034054.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb/i3d_nl_embedded_gaussian_r50_32x2x1_100e_kinetics400_rgb_20200813-6e6aef1b.pth

- Config: configs/recognition/i3d/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 48962109440

    Parameters: 31723728

    Pretrained: ImageNet

    Resolution: short-side 256p

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.37

      Top 5 Accuracy: 91.26

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034909.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb/20200813_034909.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb/i3d_nl_gaussian_r50_32x2x1_100e_kinetics400_rgb_20200815-17f84aa2.pth

- Config: configs/recognition/i3d/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb.py

  In Collection: I3D

  Metadata:

    Architecture: ResNet50

    Batch Size: 8

    Epochs: 100

    FLOPs: 54334488576

    Parameters: 35397840

    Pretrained: ImageNet

    Resolution: short-side 256p

    Training Data: Kinetics-400

    Training Resources: 32 GPUs

  Modality: RGB

  Name: i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb

  Results:

  - Dataset: Kinetics-400

    Metrics:

      Top 1 Accuracy: 73.92

      Top 5 Accuracy: 91.59

    Task: Action Recognition

  Training Json Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb/20200814_044208.log.json

  Training Log: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb/20200814_044208.log

  Weights: https://download.openmmlab.com/mmaction/recognition/i3d/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb/i3d_nl_dot_product_r50_32x2x1_100e_kinetics400_rgb_20200814-7c30d5bb.pth