mlsanityData to 7 Oct 2026

A Short Note about Kinetics-600

arXiv 1808.01340 ↗First posted 3 Aug 2018cs.CVcited by 331

Not on the map. Why?

Cited by 21 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We describe an extension of the DeepMind Kinetics human action dataset from 400 classes, each with at least 400 video clips, to 600 classes, each with at least 600 video clips. In order to scale up the dataset we changed the data collection process so it uses multiple queries per class, with some of them in a language other than english -- portuguese. This paper details the changes between the two versions of the dataset and includes a comprehensive set of statistics of the new version as well as baseline results using the I3D neural network architecture. The paper is a companion to the release of the ground truth labels for the public test set.

Key facts. Cited by 331 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Aug 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 45; 2022: 76; 2023: 64; 2024: 67; 2025: 52; 2026: 27.

331 papers.

Sort:

By area:

  1. 2023InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Taskscited by 2,534
  2. 2022Video Diffusion Modelscited by 2,280
  3. 2021ViViT: A Video Vision Transformercited by 1,610
  4. 2021Is Space-Time Attention All You Need for Video Understanding?cited by 1,609
  5. 2022CoCa: Contrastive Captioners are Image-Text Foundation Modelscited by 1,265
  6. 2022CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformerscited by 973
  7. 2021Multiscale Vision Transformerscited by 896
  8. 2023EVA-CLIP: Improved Training Techniques for CLIP at Scalecited by 786
  9. 2025V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planningcited by 738
  10. 2022AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognitioncited by 714
  11. 2022EVA: Exploring the Limits of Masked Visual Representation Learning at Scalecited by 685
  12. 2023Language Model Beats Diffusion -- Tokenizer is Key to Visual Generationcited by 633
38 more
  1. 2021Masked Feature Prediction for Self-Supervised Visual Pre-Trainingcited by 573
  2. 2023VideoPoet: A Large Language Model for Zero-Shot Video Generationcited by 479
  3. 2022Phenaki: Variable Length Video Generation From Open Domain Textual Descriptioncited by 475
  4. 2022InternVideo: General Video Foundation Models via Generative and Discriminative Learningcited by 441
  5. 2022Masked Autoencoders As Spatiotemporal Learnerscited by 428
  6. 2021VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Textcited by 427
  7. 2023EVA-02: A Visual Representation for Neon Genesiscited by 377
  8. 2022MAGVIT: Masked Generative Video Transformercited by 341
  9. 2024VideoMamba: State Space Model for Efficient Video Understandingcited by 325
  10. 2022Expanding Language-Image Pretrained Models for General Video Recognitioncited by 320
  11. 2024InternVideo2: Scaling Foundation Models for Multimodal Video Understandingcited by 310
  12. 2023Photorealistic Video Generation with Diffusion Modelscited by 304
  13. 2023Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistlescited by 287
  14. 2021A Large-Scale Study on Unsupervised Spatiotemporal Representation Learningcited by 214
  15. 2022UniFormer: Unifying Convolution and Self-attention for Visual Recognitioncited by 206
  16. 2023A Survey on Video Diffusion Modelscited by 203
  17. 2023Video Understanding with Large Language Models: A Surveycited by 203
  18. 2023Unmasked Teacher: Towards Training-Efficient Video Foundation Modelscited by 199
  19. 2022ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learningcited by 192
  20. 2022Scalable Adaptive Computation for Iterative Generationcited by 190
  21. 2022MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognitioncited by 189
  22. 2022Generating Videos with Dynamics-aware Implicit Generative Adversarial Networkscited by 186
  23. 2022MERLOT Reserve: Neural Script Knowledge through Vision and Language and Soundcited by 184
  24. 2022UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learningcited by 182
  25. 2021Adaptive Token Sampling For Efficient Vision Transformerscited by 181
  26. 2022Fine-tuned CLIP Models are Efficient Video Learnerscited by 178
  27. 2024T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generationcited by 177
  28. 2021SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioningcited by 161
  29. 2021Towards Long-Form Video Understandingcited by 146
  30. 2025VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generationcited by 141
  31. 2021MoViNets: Mobile Video Networks for Efficient Video Recognitioncited by 135
  32. 2022Diffusion Models for Video Prediction and Infillingcited by 134
  33. 2023FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generationcited by 119
  34. 2024OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generationcited by 117
  35. 2022UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormercited by 116
  36. 2021Broaden Your Views for Self-Supervised Video Learningcited by 108
  37. 2022Long Movie Clip Classification with State-Space Video Modelscited by 106
  38. 2023Selective Structured State-Spaces for Long-Form Video Understandingcited by 105

50 most cited of 331 All 331 (JSON)