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