Apr 5, 2021 · This paper addresses unsupervised action segmentation. Prior work captures the frame-level temporal structure of videos by a feature embedding that encodes ...
This paper addresses unsupervised action segmentation. Prior work captures the frame-level temporal structure of videos by a feature embedding that encodes ...
Alternate prediction of latent actions and training of. HMM by using the predicted latent actions as pseudo- ground truth. • Self-supervised learning of ...
2021. Action Shuffle Alternating Learning for Unsupervised Action Segmentation, [pdf]. Jun Li and Sinisa Todorovic, CVPR 2021. Joint Visual-Temporal Embedding ...
Action Shuffle Alternating Learning for Unsupervised Action Segmentation. tags : action-segmentation. :cat: Paper Info. Conference : Year : 2021. Paper : PDF.
Jun Li, Sinisa Todorovic. Action Shuffle Alternating Learning for Unsupervised Action Segmentation Conference on Computer Vision and Pattern Recognition ...
Jun Li, Sinisa Todorovic. Action Shuffle Alternating Learning for Unsupervised Action Segmentation, CVPR2021. [pdf]. Jun Li, Sinisa Todorovic. Anchor ...
This involves alternating optimization between a discriminative appearance model and a generative temporal model of action sequences. Con- versely, the Frank- ...
Action Shuffle Alternating Learning for Unsupervised Action Segmentation. J Li, S Todorovic. Proceedings of the IEEE/CVF Conference on Computer Vision and ...
Readers: Everyone. Action Shuffle Alternating Learning for Unsupervised Action Segmentation · Jun Li, Sinisa Todorovic. 2021 (modified: 03 Nov 2022); CVPR 2021 ...