Unsupervised Action Segmentation
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Benchmarks
Most implemented
Unsupervised learning of action classes with continuous temporal embedding
Hierarchical Vector Quantization for Unsupervised Action Segmentation
Transformer with Controlled Attention for Synchronous Motion Captioning
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment
Leveraging triplet loss for unsupervised action segmentation
Papers
D-CLOT: Double Closed Loop Optimal Transport for Unsupervised Action Segmentation
Optimal transport (OT) has emerged as an effective framework for unsupervised action segmentation. Yet, in existing OT-based methods, the latent action prototypes that define the OT costs are not re-estimated from the re…
Unsupervised Action SegmentationLearning Probabilistic Embeddings for Unsupervised Action Segmentation
This paper concerns the problem of unsupervised temporal action segmentation for long, untrimmed videos. Recent successful approaches follow a joint representation learning and clustering paradigm, where optimal transpor…
Unsupervised Action SegmentationRepresentation LearningDeep kernel video approximation for unsupervised action segmentation
This work focuses on per-video unsupervised action segmentation, which is of interest to applications where storing large datasets is either not possible, or nor permitted. We propose to segment videos by learning in dee…
Unsupervised Action SegmentationCLOT: Closed Loop Optimal Transport for Unsupervised Action Segmentation
Unsupervised action segmentation has recently pushed its limits with ASOT, an optimal transport (OT)-based method that simultaneously learns action representations and performs clustering using pseudo-labels. Unlike othe…
Unsupervised Action SegmentationHierarchical Vector Quantization for Unsupervised Action Segmentation
In this work, we address unsupervised temporal action segmentation, which segments a set of long, untrimmed videos into semantically meaningful segments that are consistent across videos. While recent approaches combine …
Action SegmentationClusteringQuantizationRepresentation Learning+2Transformer with Controlled Attention for Synchronous Motion Captioning
In this paper, we address a challenging task, synchronous motion captioning, that aim to generate a language description synchronized with human motion sequences. This task pertains to numerous applications, such as alig…
Action LocalizationAction SegmentationMotion CaptioningPhrase Grounding+4