Group Activity Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 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

2 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

18 shown of 18 papers with code (65 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.

• Revisiting Skeleton-based Action Recognition
  28 Apr 2021 4 repositories listed
  In this work, we propose PoseC3D, a new approach to skeleton-based action recognition, which relies on a 3D heatmap stack instead of a graph sequence as the base representation of human skeletons.
• Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
  26 Aug 2021 2 repositories listed Syntology ran 1 of 12 samples · 11 unverified
  Within each interaction field, we apply DR to predict the relation matrix and DW to predict the dynamic walk offsets in a joint-processing manner, thus forming a person-specific interaction graph.
• Learning Actor Relation Graphs for Group Activity Recognition
  23 Apr 2019 2 repositories listed
  To this end, we propose to build a flexible and efficient Actor Relation Graph (ARG) to simultaneously capture the appearance and position relation between actors.
• SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic
  9 Mar 2025 1 repository listed
  This framework aligns with the feature extraction paradigm in RGB-based methods, enabling direct evaluation of RGB-based models on skeleton-based benchmarks.
• 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.
• Unified Framework with Consistency across Modalities for Human Activity Recognition
  4 Sep 2024 1 repository listed
  Our key contribution is the introduction of a novel compositional query machine, called COMPUTER (COMPositional hUman-cenTric quERy machine), a generic neural architecture that models the interactions between a human of…
• Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph
  28 Jul 2024 1 repository listed
  To address these limitations, we design a panoramic graph that incorporates multi-person skeletons and objects to encapsulate group activity, offering an effective alternative to RGB video.
• DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image
  11 Mar 2023 1 repository listed
  To that end, we propose a novel GAR technique for volleyball videos, DECOMPL, which consists of two complementary branches.
• SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition
  6 Mar 2023 1 repository listed
  In this paper, we propose a new, simple, and effective Self-supervised Spatio-temporal Transformers (SPARTAN) approach to Group Activity Recognition (GAR) using unlabeled video data.
• COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
  11 Dec 2021 1 repository listed
  Group Activity Recognition detects the activity collectively performed by a group of actors, which requires compositional reasoning of actors and objects.
• GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
  28 Aug 2021 1 repository listed Syntology ran 19 of 27 samples · 8 unverified · 2 pointer-only (licence)
  It captures spatial-temporal contextual information jointly to augment the individual and group representations effectively with a clustered spatial-temporal transformer.
• Group Activity Recognition Using Joint Learning of Individual Action Recognition and People Grouping
  17 Jul 2021 1 repository listed
  This paper proposes joint learning of individual action recognition and people grouping for improving group activity recognition.
• Learning Group Activities from Skeletons without Individual Action Labels
  14 May 2021 1 repository listed
  To understand human behavior we must not just recognize individual actions but model possibly complex group activity and interactions.
• Improved Actor Relation Graph based Group Activity Recognition
  24 Oct 2020 1 repository listed
  We propose to use Normalized cross-correlation (NCC) and the sum of absolute differences (SAD) to calculate the pair-wise appearance similarity and build the actor relationship graph to allow the graph convolution…
• Hierarchical Relational Networks for Group Activity Recognition and Retrieval
  1 Sep 2018 1 repository listed
  Second, we propose a Relational Autoencoder model for unsupervised learning of features for action and scene retrieval.
• SBGAR: Semantics Based Group Activity Recognition
  1 Oct 2017 1 repository listed
  Activity recognition has become an important function in many emerging computer vision applications e.
• Hierarchical Deep Temporal Models for Group Activity Recognition
  9 Jul 2016 1 repository listed
  In order to model both person-level and group-level dynamics, we present a 2-stage deep temporal model for the group activity recognition problem.
• A Hierarchical Deep Temporal Model for Group Activity Recognition
  19 Nov 2015 1 repository listed
  In group activity recognition, the temporal dynamics of the whole activity can be inferred based on the dynamics of the individual people representing the activity.

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.