Human Interaction Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

8 leaderboard tables shown for this task, 8 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

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

3 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (22 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.

• Slow-Fast Auditory Streams For Audio Recognition
  5 Mar 2021 2 repositories listed
  We propose a two-stream convolutional network for audio recognition, that operates on time-frequency spectrogram inputs.
• CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
  9 Oct 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  To this end, we introduce a Convex Hull Adaptive Shift based multi-Entity action recognition method (CHASE), which mitigates inter-entity distribution gaps and unbiases subsequent backbones.
• Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents
  1 Jul 2024 1 repository listed
  We introduce the concept of "empathic grounding" in conversational agents as an extension of Clark's conceptualization of grounding in conversation in which the grounding criterion includes listener empathy for the…
• SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
  14 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  We categorize the key skeletal-temporal relations for action recognition into a total of four distinct types.
• Learning Mutual Excitation for Hand-to-Hand and Human-to-Human Interaction Recognition
  4 Feb 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Recognizing interactive actions, including hand-to-hand interaction and human-to-human interaction, has attracted increasing attention for various applications in the field of video analysis and human-robot interaction.
• Interactive Spatiotemporal Token Attention Network for Skeleton-based General Interactive Action Recognition
  14 Jul 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  To address these problems, we propose an Interactive Spatiotemporal Token Attention Network (ISTA-Net), which simultaneously model spatial, temporal, and interactive relations.
• Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition
  12 Aug 2022 1 repository listed
  To overcome the above shortcoming, we introduce a novel unified two-person graph to represent inter-body and intra-body correlations between joints.
• Interaction Relational Network for Mutual Action Recognition
  11 Oct 2019 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Our solution is able to achieve state-of-the-art performance on the traditional interaction recognition datasets SBU and UT, and also on the mutual actions from the large-scale dataset NTU RGB+D.

Syntology lines on 5 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.