Cited by 1,274Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot LearningVisual Attention and Saliency Detection

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LVIS: A Dataset for Large Vocabulary Instance Segmentation

Gupta, Agrim, Dollar, Piotr, Girshick, Ross·2019·2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

DOI 10.1109/cvpr.2019.00550

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Abstract

Progress on object detection is enabled by datasets that focus the research community’s attention on open challenges. This process led us from simple images to complex scenes and from bounding boxes to segmentation masks. In this work, we introduce LVIS (pronounced ‘el-vis’): a new dataset for Large Vocabulary Instance Segmentation. We plan to collect 2.2 million high-quality instance segmentation masks for over 1000 entry-level object categories in 164k images. Due to the Zipfian distribution of categories in natural images, LVIS naturally has a long tail of categories with few training samples. Given that state-of-the-art deep learning methods for object detection perform poorly in the low-sample regime, we believe that our dataset poses an important and exciting new scientific challenge. LVIS is available at http://www.lvisdataset.org.

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Authors: Gupta, A., Dollar, P., & Girshick, R.
Affiliations: Meta (United States) (US)
FAIR
ORCID: Gupta, Agrim
Venue: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher: IEEE
Published: 2019-06
Pages: 5351-5359
ISSN: 1063-6919 (ISSN-L)
DOI: 10.1109/cvpr.2019.00550
OpenAlex: W2948672349
Cited by: 1,274
References: 28
Citations by year: 2026: 153 · 2025: 246 · 2024: 285 · 2023: 219 · 2022: 164 · 2021: 141 · 2020: 55 · 2019: 11
FWCI: 30.32
Type: conference paper
Language: en
Open access: closed
Licence: doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
Locations: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (publishedVersion)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
Keywords: lymphovascular invasion, instance segmentation masks, object categories, object detection, benchmark dataset, complex scenes

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LVIS: A Dataset for Large Vocabulary Instance Segmentation

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