The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
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Abstract (arXiv)
The availability of a large labeled dataset is a key requirement for applying deep learning methods to solve various computer vision tasks. In the context of understanding human activities, existing public datasets, while large in size, are often limited to a single RGB camera and provide only per-frame or per-clip action annotations. To enable richer analysis and understanding of human activities, we introduce IKEA ASM -- a three million frame, multi-view, furniture assembly video dataset that includes depth, atomic actions, object segmentation, and human pose. Additionally, we benchmark prominent methods for video action recognition, object segmentation and human pose estimation tasks on this challenging dataset. The dataset enables the development of holistic methods, which integrate multi-modal and multi-view data to better perform on these tasks.
Key facts. Cited by 95 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2020.
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Citing papers per year: 2021: 6; 2022: 8; 2023: 21; 2024: 20; 2025: 23; 2026: 17.
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- 2022Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formatscited by 50
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- 2023Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignmentcited by 46
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- 2023A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decisioncited by 11
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- 2025Joint Self-Supervised Video Alignment and Action Segmentationcited by 11
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50 most cited of 95 All 95 (JSON)
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- 2026IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly12 Apr 2026
- 2026Benchmarking and Mechanistic Analysis of Vision-Language Models for Cross-Depiction Assembly Instruction Alignment1 Apr 2026
38 more
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- 2024Manual-PA: Learning 3D Part Assembly from Instruction Diagrams27 Nov 2024
- 2024ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos23 Nov 2024
- 2024IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos18 Nov 2024
- 2024TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos4 Nov 2024
- 2024Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context28 Oct 2024
- 2024Egocentric and Exocentric Methods: A Short Survey27 Oct 2024
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- 2024Understanding Human Activity with Uncertainty Measure for Novelty in Graph Convolutional Networks10 Oct 2024
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- 2024A vision-based framework for human behavior understanding in industrial assembly lines25 Sep 2024
50 newest of 95 All 95 (JSON)
- 2024ACE: Action Concept Enhancement of Video-Language Models in Procedural Videoscited by 1
- 2026GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Videocited by 1
- 2026Benchmarking and Mechanistic Analysis of Vision-Language Models for Cross-Depiction Assembly Instruction Alignmentcited by 0
- 2026Compositional Context Fine-Tuning Vision-Language Model for Complex Assembly Action Understanding from Videoscited by 0
- 2026Compositional Context Fine-Tuning Vision-Language Model for Complex Assembly Action Understanding from Videos12 Jul 2026
- 2026GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video3 Jul 2026
- 2026Benchmarking and Mechanistic Analysis of Vision-Language Models for Cross-Depiction Assembly Instruction Alignment1 Apr 2026
- 2024ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos23 Nov 2024
- 2023Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectivescited by 477
- 2022Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activitiescited by 284
- 2023BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motioncited by 229
- 2024EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real Worldcited by 93
- 2022Temporal Action Segmentation: An Analysis of Modern Techniquescited by 85
- 2022Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?cited by 70
- 2024Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimationcited by 57
- 2022Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formatscited by 50
- 2021Learning by Aligning Videos in Timecited by 47
- 2023Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignmentcited by 46
- 2023IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Settingcited by 46
- 2021JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detectioncited by 38
12 most cited of 86 All 86 (JSON)
- 2026SPACE: Sparse Predictive Attractor via Counterfactual Eviction for Streaming Video Memory26 Sep 2026
- 2026PrintAnything: Learning an Intermediate Representation for 3D printing G-code Generation30 Jul 2026
- 2026Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models25 Jun 2026
- 2026RoMo: A Large-Scale, Richly Organized Dataset and Semantic Taxonomy for Human Motion Generation25 May 2026
- 2026REACH: Hand Pose Estimation from Room Corners21 May 2026
- 2026MechVerse: Evaluating Physical Motion Consistency in Video Generation Models14 May 2026
- 2026AssemblyBench: Physics-Aware Assembly of Complex Industrial Objects13 May 2026
- 2026IMPACT: A Dataset for Multi-Granularity Human Procedural Action Understanding in Industrial Assembly12 Apr 2026
- 2026ENIGMA-360: An Ego-Exo Dataset for Human Behavior Understanding in Industrial Scenarios10 Mar 2026
- 2026OpenMarcie: Dataset for Multimodal Action Recognition in Industrial Environments2 Mar 2026
- 2026Frame2Freq: Spectral Adapters for Fine-Grained Video Understanding21 Feb 2026
- 2026Understanding Multimodal Complementarity for Single-Frame Action Anticipation29 Jan 2026
12 newest of 86 All 86 (JSON)