Video Classification on UCF-101 (split-1)
89.08AccuracyResNeXt-101
Evaluation results
| Method | Links | |
|---|---|---|
| ResNeXt-101Batch Size=8, Input Frames=16, Resolution=112x1122019.04 | 89.08 | |
| ResNet-50Batch Size=8, Input Frames=16, Resolution=112x1122019.04 | 88.92 | |
| ResNet-101Batch Size=8, Input Frames=16, Resolution=112x1122019.04 | 87.02 | |
| 3D-ShuffleNetV1 2.0xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 84.96 | |
| 3D-ShuffleNetV2 2.0xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 83.32 | |
| 3D-ShuffleNetV2 1.5xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 82.32 | |
| 3D-ShuffleNetV1 1.5xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 81.73 | |
| 3D-MobileNetV2 1.0xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 81.6 | |
| ResNet-18Batch Size=8, Input Frames=16, Resolution=112x1122019.04 | 80.09 | |
| 3D-ShuffleNetV2 1.0xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 77.9 | |
| 3D-MobileNetV2 0.7xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 77.32 | |
| 3D-MobileNetV1 2.0xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 76.18 | |
| 3D-ShuffleNetV1 1.0xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 76 | |
| 3D-MobileNetV1 1.5xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 76 | |
| 3D-SqueezeNetBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 74.94 | |
| 3D-MobileNetV1 1.0xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 70.95 | |
| 3D-MobileNetV2 0.45xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 68.31 | |
| 3D-ShuffleNetV1 0.5xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 64.39 | |
| 3D-MobileNetV1 0.5xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 62.17 | |
| 3D-ShuffleNetV2 0.25xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 56.52 | |
| 3D-MobileNetV2 0.2xBatch Size=8, Input Frames=16, Resolution=112x1122019.04 | 55.56 |