Online Action Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

3 datasets 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (39 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.

• Long Short-Term Transformer for Online Action Detection
  7 Jul 2021 2 repositories listed Syntology ran 1 of 10 samples · 9 unverified
  We present Long Short-term TRansformer (LSTR), a temporal modeling algorithm for online action detection, which employs a long- and short-term memory mechanism to model prolonged sequence data.
• Context-Enhanced Memory-Refined Transformer for Online Action Detection
  24 Mar 2025 1 repository listed
  The past is encoded using short- and long-term memories to capture immediate and long-range dependencies, while anticipation compensates for missing future context.
• Text-driven Online Action Detection
  23 Jan 2025 1 repository listed
  Detecting actions as they occur is essential for applications like video surveillance, autonomous driving, and human-robot interaction.
• ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
  17 Jul 2024 1 repository listed
  Online Temporal Action Localization (On-TAL) is a critical task that aims to instantaneously identify action instances in untrimmed streaming videos as soon as an action concludes -- a major leap from frame-based Online…
• Memory-and-Anticipation Transformer for Online Action Understanding
  15 Aug 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Based on this idea, we present Memory-and-Anticipation Transformer (MAT), a memory-anticipation-based approach, to address the online action detection and anticipation tasks.
• E2E-LOAD: End-to-End Long-form Online Action Detection
  13 Jun 2023 1 repository listed Syntology ran 0 of 16 samples · 16 unverified · 16 pointer-only (licence)
  Furthermore, we propose a novel and efficient inference mechanism that accelerates heavy spatial-temporal exploration.
• MiniROAD: Minimal RNN Framework for Online Action Detection
  1 Jan 2023 1 repository listed
  Online Action Detection (OAD) is the task of identifying actions in streaming videos without access to future frames.
• Real-time Online Video Detection with Temporal Smoothing Transformers
  19 Sep 2022 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  Streaming video recognition reasons about objects and their actions in every frame of a video.
• Weakly Supervised Online Action Detection for Infant General Movements
  7 Aug 2022 1 repository listed
  Although general movements assessment(GMA) has shown promising results in early CP detection, it is laborious.
• Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
  2 Mar 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Based on the exemplar-consultation mechanism, the long-term dependencies can be captured by regarding historical frames as exemplars, while the category-level modeling can be achieved by regarding representative frames…
• Continual Transformers: Redundancy-Free Attention for Online Inference
  17 Jan 2022 1 repository listed
  Transformers in their common form are inherently limited to operate on whole token sequences rather than on one token at a time.
• OadTR: Online Action Detection with Transformers
  21 Jun 2021 1 repository listed Syntology ran 5 of 5 samples · 0 unverified
  Most recent approaches for online action detection tend to apply Recurrent Neural Network (RNN) to capture long-range temporal structure.
• Temporally smooth online action detection using cycle-consistent future anticipation
  16 Apr 2021 1 repository listed
  Many video understanding tasks work in the offline setting by assuming that the input video is given from the start to the end.
• Two-Stream AMTnet for Action Detection
  3 Apr 2020 1 repository listed
  This is achieved by augmenting the previous Action Micro-Tube (AMTnet) action detection framework in three distinct ways: by adding a parallel motion stIn this paper, we propose a new deep neural network architecture…
• Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol
  26 Mar 2020 1 repository listed
  Our results confirm the problems of the previous evaluation protocols, and suggest that an IA-based protocol is more adequate to the online scenario.
• The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos
  22 Mar 2020 1 repository listed
  The problem of Online Human Behaviour Recognition in untrimmed videos, aka Online Action Detection (OAD), needs to be revisited.
• Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection
  8 Feb 2020 1 repository listed
  Human activity recognition (HAR) based on skeleton data that can be extracted from videos (Kinect for example) , or provided by a depth camera is a time series classification problem, where handling both spatial and…
• A Comprehensive Study on Temporal Modeling for Online Action Detection
  21 Jan 2020 1 repository listed
  Online action detection (OAD) is a practical yet challenging task, which has attracted increasing attention in recent years.
• Learning to Discriminate Information for Online Action Detection
  10 Dec 2019 1 repository listed
  For online action detection, in this paper, we propose a novel recurrent unit to explicitly discriminate the information relevant to an ongoing action from others.
• Temporal Recurrent Networks for Online Action Detection
  18 Nov 2018 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  Most work on temporal action detection is formulated as an offline problem, in which the start and end times of actions are determined after the entire video is fully observed.
• Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
  19 Apr 2016 1 repository listed
  In this paper, we study the problem of online action detection from streaming skeleton data.

Syntology lines on 7 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.