A 3D ResNet-50 video classifier trained on a small dashcam dataset reaches 0.88 validation F1 for four forestry work elements, with acknowledged overfitting and limited data.
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages 6546–6555, 2018
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Spatiotemporal Analysis of Forest Machine Operations Using 3D Video Classification
A 3D ResNet-50 video classifier trained on a small dashcam dataset reaches 0.88 validation F1 for four forestry work elements, with acknowledged overfitting and limited data.