3D Action Recognition

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

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

Subtasks archive 2025-07-28

6 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 38 papers with code (91 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.

• Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
  30 Oct 2017 24 repositories listed Syntology ran 4 of 7 samples · 3 unverified · 3 pointer-only (licence)
  Over the last decade, Convolutional Neural Network (CNN) models have been highly successful in solving complex vision problems.
• TSM: Temporal Shift Module for Efficient Video Understanding
  20 Nov 2018 13 repositories listed Syntology ran 6 of 16 samples · 10 unverified · 4 pointer-only (licence)
  The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost.
• Unsupervised Learning of Object Keypoints for Perception and Control
  19 Jun 2019 6 repositories listed Syntology ran 4 of 11 samples · 7 unverified · 4 pointer-only (licence)
  In this work we aim to learn object representations that are useful for control and reinforcement learning (RL).
• 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.
• Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
  20 May 2018 4 repositories listed
  In addition, the second-order information (the lengths and directions of bones) of the skeleton data, which is naturally more informative and discriminative for action recognition, is rarely investigated in existing…
• Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
  31 Mar 2020 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Spatial-temporal graphs have been widely used by skeleton-based action recognition algorithms to model human action dynamics.
• Reconstructing undersampled photoacoustic microscopy images using deep learning
  30 May 2020 2 repositories listed
  One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed.
• NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
  11 Apr 2016 2 repositories listed
  Recent approaches in depth-based human activity analysis achieved outstanding performance and proved the effectiveness of 3D representation for classification of action classes.
• 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.
• Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action Recognition
  26 Sep 2024 1 repository listed
  In self-supervised skeleton-based action recognition, the mask reconstruction paradigm is gaining interest in enhancing model refinement and robustness through effective masking.
• STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
  15 Jul 2024 1 repository listed
  Self-supervised pretraining methods with masked prediction demonstrate remarkable within-dataset performance in skeleton-based action recognition.
• On the Utility of 3D Hand Poses for Action Recognition
  14 Mar 2024 1 repository listed Syntology ran 8 of 13 samples · 5 unverified
  3D hand pose is an underexplored modality for action recognition.
• Masked Motion Predictors are Strong 3D Action Representation Learners
  14 Aug 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  To be specific, the proposed MAMP takes as input the masked spatio-temporal skeleton sequence and predicts the corresponding temporal motion of the masked human joints.
• 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.
• CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
  26 Aug 2022 1 repository listed
  In this work, we formulate the cross-modal interaction as a bidirectional knowledge distillation problem.
• Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition
  20 Jul 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Furthermore, to leverage the complementarity of domain-shared features and target-specific features, we propose a novel collaborative clustering strategy to enforce pair-wise relationship consistency between the two…
• Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition
  27 Jun 2022 1 repository listed Syntology ran 19 of 26 samples · 7 unverified
  To solve this problem, we present a multi-scale spatial graph convolution (MS-GC) module and a multi-scale temporal graph convolution (MT-GC) module to enrich the receptive field of the model in spatial and temporal…
• PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
  27 May 2022 1 repository listed
  Then, a spatial convolution is employed to capture the local structure of points in the 3D space, and a temporal convolution is used to model the dynamics of the spatial regions along the time dimension.
• Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
  28 Mar 2022 1 repository listed
  Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles.
• No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces
  21 Mar 2022 1 repository listed
  Scene flow is a powerful tool for capturing the motion field of 3D point clouds.
• Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
  28 Feb 2022 1 repository listed
  To that end, we propose to learn exercise-oriented image and video representations from unlabeled samples such that a small dataset annotated by experts suffices for supervised error detection.
• Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition
  14 Dec 2021 1 repository listed
  Specifically, a spatial operation is employed to capture the local structure of each spatial region in a tube and a temporal operation is used to model the dynamics of the spatial regions along the tube.
• 3DVNet: Multi-View Depth Prediction and Volumetric Refinement
  1 Dec 2021 1 repository listed
  Furthermore, unlike existing volumetric MVS techniques, our 3D CNN operates on a feature-augmented point cloud, allowing for effective aggregation of multi-view information and flexible iterative refinement of depth…
• Real-time 3D human action recognition based on Hyperpoint sequence
  16 Nov 2021 1 repository listed
  Instead of capturing spatio-temporal local structures, SequentialPointNet encodes the temporal evolution of static appearances to recognize human actions.
• Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos
  19 Jun 2021 1 repository listed
  To capture the dynamics in point cloud videos, point tracking is usually employed.
• BABEL: Bodies, Action and Behavior with English Labels
  17 Jun 2021 1 repository listed
  To address this, we present BABEL, a large dataset with language labels describing the actions being performed in mocap sequences.
• Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks
  1 Aug 2020 1 repository listed
  We propose novel approaches for simultaneously identifying important weights of a convolutional neural network (ConvNet) and providing more attention to the important weights during training.
• Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
  28 Jun 2020 1 repository listed
  Although various methods have been proposed for 3D action recognition, some of which are basic and some use deep learning, the need of basic methods based on generalized eigenvalue problem is sensed for action…
• 3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
  12 May 2020 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Each available 3DV voxel intrinsically involves 3D spatial and motion feature jointly.
• A System for Real-Time Interactive Analysis of Deep Learning Training
  5 Jan 2020 1 repository listed Syntology ran 0 of 17 samples · 17 unverified
  To achieve this, we model various exploratory inspection and diagnostic tasks for deep learning training processes as specifications for streams using a map-reduce paradigm with which many data scientists are already…

Syntology lines on 12 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.