Browse State-of-the-Art › Temporal Action Segmentation
Temporal Action Segmentation
35 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Segment activities/actions temporally
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 35 papers with code (62 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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20 Mar 2024 3 repositories listedWe found that domain experts prefer our system and find it more informative than purely neural approaches to AQA in diving.
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19 Oct 2022 3 repositories listed Syntology ran 2 of 4 samples · 2 unverifiedTemporal action segmentation (TAS) in videos aims at densely identifying video frames in minutes-long videos with multiple action classes.
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1 Sep 2022 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)This paper introduces a unified framework for video action segmentation via sequence to sequence (seq2seq) translation in a fully and timestamp supervised setup.
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14 Jun 2022 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)Our search scheme exploits both global search to find the coarse combinations and local search to get the refined receptive field combinations further.
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5 Mar 2019 2 repositories listedTemporally locating and classifying action segments in long untrimmed videos is of particular interest to many applications like surveillance and robotics.
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24 Mar 2025 1 repository listedIn temporal action segmentation approaches, we identified a bi-level learning bias.
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23 Dec 2024 1 repository listedIn 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.
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2 Nov 2024 1 repository listedTemporal context plays a significant role in temporal action segmentation.
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31 Oct 2024 1 repository listedRegarding action relationships, the Action Relationships Supervision (ARS) module enhances the discrimination across action classes through contrastive learning of single-class action-text pairs and models the semantic…
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29 Oct 2024 1 repository listedMultimodal systems have great potential to assist humans in procedural activities, where people follow instructions to achieve their goals.
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8 Oct 2024 1 repository listedTo address these limitations, we propose a novel method named Language-assisted Human Part Motion Representation Learning (LPL), which contains a Disentangled Part Motion Encoder (DPE) to extract dual-level (i.
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30 Sep 2024 1 repository listedFor the task of temporal action segmentation, existing works commonly treat it as a frame-wise classification problem.
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29 Aug 2024 1 repository listedIn the experimental results, we validated the usefulness of 3D pose features as input and the fine-grained dataset for the TAS model in figure skating.
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19 Aug 2024 1 repository listedHowever, state-of-the-art temporal action segmentation methods overlook the long tail and fail to recognize tail actions.
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25 May 2024 1 repository listedAlthough the performance of Temporal Action Segmentation (TAS) has improved in recent years, achieving promising results often comes with a high computational cost due to dense inputs, complex model structures, and…
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6 May 2024 1 repository listedTo address these limitations, the snippet-aware Transformer with multiple action element (ME-ST) is proposed to enhance the discrimination and segmentation among actions, which leverages intrasnippet attention along…
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28 Feb 2024 1 repository listedTo address this deficit, we present the multimodal Handover Failure Detection dataset, which consists of failures induced by the human participant, such as ignoring the robot or not releasing the object.
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19 Dec 2023 1 repository listedHowever, learning the representation of each frame by unsupervised contrastive learning for action segmentation remains an open and challenging problem.
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7 Dec 2023 1 repository listed Syntology ran 5 of 6 samples · 1 unverifiedSequence prediction on temporal data requires the ability to understand compositional structures of multi-level semantics beyond individual and contextual properties.
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27 Sep 2023 1 repository listedThe streaming temporal action segmentation (STAS) task, a supplementary task of temporal action segmentation (TAS), has not received adequate attention in the field of video understanding.
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12 Sep 2023 1 repository listedIn this paper, we explore the merits of local features by proposing the unsupervised framework of Object-centric Temporal Action Segmentation (OTAS).
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22 Aug 2023 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)In this work, we try to answer how much long-term temporal context is required for temporal action segmentation by introducing a transformer-based model that leverages sparse attention to capture the full context of a…
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31 Mar 2023 1 repository listed Syntology ran 5 of 9 samples · 4 unverifiedTemporal action segmentation is crucial for understanding long-form videos.
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28 Sep 2022 1 repository listedAs the real-time action segmentation task is different from TAS task, we define it as streaming video real-time temporal action segmentation (SVTAS) task.
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2 Dec 2021 1 repository listed Syntology ran 0 of 10 samples · 10 unverifiedOur method hinges on unsupervised representation learning, which, for temporal action segmentation, poses unique challenges.
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30 Apr 2021 1 repository listedDue to boundary ambiguity and over-segmentation issues, identifying all the frames in long untrimmed videos is still challenging.
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11 Mar 2021 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)To demonstrate the effectiveness of timestamp supervision, we propose an approach to train a segmentation model using only timestamps annotations.
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1 Jan 2021 1 repository listedIn this paper, we propose Hierarchical Action Segmentation Refiner (HASR), which can refine temporal action segmentation results from various models by understanding the overall context of a given video in a…
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31 Aug 2020 1 repository listedIn this thesis, we focus on video action understanding problems from an online and real-time processing point of view.
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1 Aug 2020 1 repository listedTo address these problems, we present a new boundary-aware cascade network by introducing two novel components.
Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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