mlsanityData to 7 Oct 2026

DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition

arXiv 2101.08674 ↗First posted 21 Jan 2021cs.CVcited by 9

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Abstract (arXiv)

In this work we tackle the challenging problem of anime character recognition. Anime, referring to animation produced within Japan and work derived or inspired from it. For this purpose we present DAF:re (DanbooruAnimeFaces:revamped), a large-scale, crowd-sourced, long-tailed dataset with almost 500 K images spread across more than 3000 classes. Additionally, we conduct experiments on DAF:re and similar datasets using a variety of classification models, including CNN based ResNets and self-attention based Vision Transformer (ViT). Our results give new insights into the generalization and transfer learning properties of ViT models on substantially different domain datasets from those used for the upstream pre-training, including the influence of batch and image size in their training. Additionally, we share our dataset, source-code, pre-trained checkpoints and results, as Animesion, the first end-to-end framework for large-scale anime character recognition: https://github.com/arkel23/animesion

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 11 of its 22 references that are in the map. First posted on arXiv 21 Jan 2021.

Builds on

11 of 22 references.

References · 11

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  4. 2020End-to-End Object Detection with Transformerscited by 7,384
  5. 2018ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustnesscited by 1,430
  6. 2021Transformers in Vision: A Surveycited by 1,009
  7. 2018Image Transformercited by 770
  8. 2015Sketch-based Manga Retrieval using Manga109 Datasetcited by 326
  9. 2017Towards the Automatic Anime Characters Creation with Generative Adversarial Networkscited by 29
  10. 2017Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GANcited by 28
  11. 2018A survey of comics research in computer sciencecited by 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 1; 2025: 2; 2026: 1.

9 papers.

  1. 2023Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluationcited by 108
  2. 2021AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactmentcited by 11
  3. 2022Unsupervised Manga Character Re-identification via Face-body and Spatial-temporal Associated Clusteringcited by 9
  4. 2024Illustrious: an Open Advanced Illustration Modelcited by 5
  5. 2021Graph Jigsaw Learning for Cartoon Face Recognitioncited by 4
  6. 2022AniWho : A Quick and Accurate Way to Classify Anime Character Faces in Imagescited by 4
  7. 2025Character-Centric Understanding of Animated Moviescited by 3
  8. 2025OregairuChar: A Benchmark Dataset for Character Appearance Frequency Analysis in My Teen Romantic Comedy SNAFUcited by 0
  9. 2026A Large-Scale Study on the Accuracy vs Cost Trade-offs of Training and Evaluation Settings in Fine-Grained Image Recognitioncited by 0