mlsanityData to 7 Oct 2026

FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments

arXiv 2207.03333 ↗First posted 6 Jul 2022cs.CV cs.AI cs.LGcited by 8

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Abstract (arXiv)

We introduce the Few-Shot Object Learning (FewSOL) dataset for object recognition with a few images per object. We captured 336 real-world objects with 9 RGB-D images per object from different views. Object segmentation masks, object poses and object attributes are provided. In addition, synthetic images generated using 330 3D object models are used to augment the dataset. We investigated (i) few-shot object classification and (ii) joint object segmentation and few-shot classification with the state-of-the-art methods for few-shot learning and meta-learning using our dataset. The evaluation results show that there is still a large margin to be improved for few-shot object classification in robotic environments. Our dataset can be used to study a set of few-shot object recognition problems such as classification, detection and segmentation, shape reconstruction, pose estimation, keypoint correspondences and attribute recognition. The dataset and code are available at https://irvlutd.github.io/FewSOL.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 29 of its 39 references that are in the map. First posted on arXiv 6 Jul 2022.

Builds on

29 of 39 references.

References · 29

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17 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 3; 2025: 0; 2026: 1.

8 papers.

  1. 2024Advances in 3D Generation: A Surveycited by 62
  2. 2023Detect Everything with Few Examplescited by 13
  3. 2023Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learningcited by 12
  4. 2023SA6D: Self-Adaptive Few-Shot 6D Pose Estimator for Novel and Occluded Objectscited by 6
  5. 2024Polaris: Open-ended Interactive Robotic Manipulation via Syn2Real Visual Grounding and Large Language Modelscited by 6
  6. 2023DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Graspingcited by 3
  7. 2024Review of Zero-Shot and Few-Shot AI Algorithms in The Medical Domaincited by 2
  8. 2026Differentiable Inverse Graphics for Zero-shot Scene Reconstruction and Robot Graspingcited by 0