--- a +++ b/configs/recognition/i3d/metafile.yml @@ -0,0 +1,237 @@ +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