Multimodal Activity Recognition

Benchmarks archive 2025-07-28

10 leaderboard tables shown for this task, 10 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

6 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

12 shown of 12 papers with code (30 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.

• Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
  23 Jan 2018 24 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Dynamics of human body skeletons convey significant information for human action recognition.
• Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
  2 Aug 2016 22 repositories listed Syntology ran 2 of 24 samples · 22 unverified · 3 pointer-only (licence)
  The other contribution is our study on a series of good practices in learning ConvNets on video data with the help of temporal segment network.
• Moments in Time Dataset: one million videos for event understanding
  9 Jan 2018 4 repositories listed
  We present the Moments in Time Dataset, a large-scale human-annotated collection of one million short videos corresponding to dynamic events unfolding within three seconds.
• Gimme Signals: Discriminative signal encoding for multimodal activity recognition
  13 Mar 2020 2 repositories listed
  We present a simple, yet effective and flexible method for action recognition supporting multiple sensor modalities.
• AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures
  30 May 2019 2 repositories listed
  Learning to represent videos is a very challenging task both algorithmically and computationally.
• OPERAnet: A Multimodal Activity Recognition Dataset Acquired from Radio Frequency and Vision-based Sensors
  8 Oct 2021 1 repository listed
  This dataset can be exploited to advance WiFi and vision-based HAR, for example, using pattern recognition, skeletal representation, deep learning algorithms or other novel approaches to accurately recognize human…
• Fusion-GCN: Multimodal Action Recognition using Graph Convolutional Networks
  27 Sep 2021 1 repository listed
  In this paper, we present Fusion-GCN, an approach for multimodal action recognition using Graph Convolutional Networks (GCNs).
• Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
  22 Apr 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Having access to multi-modal cues (e.
• Bayesian Hierarchical Dynamic Model for Human Action Recognition
  1 Jun 2019 1 repository listed
  Human action recognition remains as a challenging task partially due to the presence of large variations in the execution of action.
• EV-Action: Electromyography-Vision Multi-Modal Action Dataset
  20 Apr 2019 1 repository listed
  To make up this, we introduce a new, large-scale EV-Action dataset in this work, which consists of RGB, depth, electromyography (EMG), and two skeleton modalities.
• Cross-modal Learning by Hallucinating Missing Modalities in RGB-D Vision
  1 Jan 2019 1 repository listed
  We report state-of-the-art or comparable results on video action recognition on the largest multimodal dataset available for this task, the NTU RGB+D, as well as on the UWA3DII and Northwestern-UCLA.
• Interpretable 3D Human Action Analysis with Temporal Convolutional Networks
  14 Apr 2017 1 repository listed
  In this work, we propose to use a new class of models known as Temporal Convolutional Neural Networks (TCN) for 3D human action recognition.

Syntology lines on 3 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.