mlsanityData to 7 Oct 2026

Automated Detection of Cat Facial Landmarks

arXiv 2310.09793 ↗First posted 15 Oct 2023cs.CVcited by 3

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Abstract (arXiv)

The field of animal affective computing is rapidly emerging, and analysis of facial expressions is a crucial aspect. One of the most significant challenges that researchers in the field currently face is the scarcity of high-quality, comprehensive datasets that allow the development of models for facial expressions analysis. One of the possible approaches is the utilisation of facial landmarks, which has been shown for humans and animals. In this paper we present a novel dataset of cat facial images annotated with bounding boxes and 48 facial landmarks grounded in cat facial anatomy. We also introduce a landmark detection convolution neural network-based model which uses a magnifying ensembe method. Our model shows excellent performance on cat faces and is generalizable to human facial landmark detection.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 38 of its 106 references that are in the map. First posted on arXiv 15 Oct 2023.

Builds on

38 of 106 references.

References · 38

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26 more
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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2024PetFace: A Large-Scale Dataset and Benchmark for Animal Identificationcited by 16
  2. 2024DogFLW: Dog Facial Landmarks in the Wild Datasetcited by 1
  3. 2025Semantic Style Transfer for Enhancing Animal Facial Landmark Detectioncited by 0