mlsanityData to 14 Oct 2026

OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos

arXiv 2407.17085 ↗First posted 24 Jul 2024cs.CV cs.AI cs.LGcited by 10

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Abstract (arXiv)

We introduce a dataset of annotations of temporal repetitions in videos. The dataset, OVR (pronounced as over), contains annotations for over 72K videos, with each annotation specifying the number of repetitions, the start and end time of the repetitions, and also a free-form description of what is repeating. The annotations are provided for videos sourced from Kinetics and Ego4D, and consequently cover both Exo and Ego viewing conditions, with a huge variety of actions and activities. Moreover, OVR is almost an order of magnitude larger than previous datasets for video repetition. We also propose a baseline transformer-based counting model, OVRCounter, that can localise and count repetitions in videos that are up to 320 frames long. The model is trained and evaluated on the OVR dataset, and its performance assessed with and without using text to specify the target class to count. The performance is also compared to a prior repetition counting model. The dataset is available for download at: https://sites.google.com/view/openvocabreps/

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 29 of its 42 references that are in the map. First posted on arXiv 24 Jul 2024.

Builds on

29 of 42 references.

References · 29

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2022Scalable Diffusion Models with Transformerscited by 6,054
  3. 2022Scaling Instruction-Finetuned Language Modelscited by 3,024
  4. 2017The Kinetics Human Action Video Datasetcited by 1,909
  5. 2021ViViT: A Video Vision Transformercited by 1,620
  6. 2021Ego4D: Around the World in 3,000 Hours of Egocentric Videocited by 1,556
  7. 2022VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Trainingcited by 1,322
  8. 2019A Short Note on the Kinetics-700 Human Action Datasetcited by 310
  9. 2021Learning To Count Everythingcited by 150
  10. 2020A Short Note on the Kinetics-700-2020 Human Action Datasetcited by 92
  11. 2016A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learningcited by 86
  12. 2018Class-Agnostic Countingcited by 85
17 more
  1. 2023CLIP-Count: Towards Text-Guided Zero-Shot Object Countingcited by 83
  2. 2022Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Countingcited by 80
  3. 2022CounTR: Transformer-based Generalised Visual Countingcited by 79
  4. 2020Counting Out Time: Class Agnostic Video Repetition Counting in the Wildcited by 68
  5. 2022A Low-Shot Object Counting Network With Iterative Prototype Adaptationcited by 65
  6. 2022Few-shot Object Counting with Similarity-Aware Feature Enhancementcited by 62
  7. 2023Zero-shot Object Countingcited by 57
  8. 2022Few-shot Object Counting and Detectioncited by 55
  9. 2024DAVE -- A Detect-and-Verify Paradigm for Low-Shot Countingcited by 49
  10. 2023VLCounter: Text-aware Visual Representation for Zero-Shot Object Countingcited by 45
  11. 2022TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Countingcited by 44
  12. 2023Open-world Text-specified Object Countingcited by 41
  13. 2020Context-aware and Scale-insensitive Temporal Repetition Countingcited by 34
  14. 2018Real-World Repetition Estimation by Div, Grad and Curlcited by 21
  15. 2023PoseRAC: Pose Saliency Transformer for Repetitive Action Countingcited by 17
  16. 2024Every Shot Counts: Using Exemplars for Repetition Counting in Videoscited by 9
  17. 2023Full Resolution Repetition Countingcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 5; 2026: 5.

10 papers.