BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation Article Swipe

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Yunhao Ge , Yihe Tang , Jiashu Xu , Cem Gökmen , Chengshu Li , Wensi Ai , Benjamin Martinez , Arman Aydin , Mona Anvari , Ayush K Chakravarthy , Hong-Xing Yu , Josiah Wong , Sanjana Srivastava , Sharon Lee , Shengxin Zha , Laurent Itti , Yunzhu Li , Roberto Martín-Martín , Miao Liu , Pengchuan Zhang , Ruohan Zhang , Li Fei-Fei , Jiajun Wu ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2405.09546

The systematic evaluation and understanding of computer vision models under varying conditions require large amounts of data with comprehensive and customized labels, which real-world vision datasets rarely satisfy. While current synthetic data generators offer a promising alternative, particularly for embodied AI tasks, they often fall short for computer vision tasks due to low asset and rendering quality, limited diversity, and unrealistic physical properties. We introduce the BEHAVIOR Vision Suite (BVS), a set of tools and assets to generate fully customized synthetic data for systematic evaluation of computer vision models, based on the newly developed embodied AI benchmark, BEHAVIOR-1K. BVS supports a large number of adjustable parameters at the scene level (e.g., lighting, object placement), the object level (e.g., joint configuration, attributes such as "filled" and "folded"), and the camera level (e.g., field of view, focal length). Researchers can arbitrarily vary these parameters during data generation to perform controlled experiments. We showcase three example application scenarios: systematically evaluating the robustness of models across different continuous axes of domain shift, evaluating scene understanding models on the same set of images, and training and evaluating simulation-to-real transfer for a novel vision task: unary and binary state prediction. Project website: https://behavior-vision-suite.github.io/

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Computer Science

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Suite Computer science Artificial intelligence Computer vision Computer graphics (images) Human–computer interaction Geography Archaeology

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2405.09546
PDF: https://arxiv.org/pdf/2405.09546
OA Status: green
Cited By: 1
Related Works: 10
OpenAlex ID: https://openalex.org/W4396987757

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DOI: https://doi.org/10.48550/arxiv.2405.09546

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Title: BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-05-15

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Authors: Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gökmen, Chengshu Li, Wensi Ai, Benjamin Martinez, Arman Aydin, Mona Anvari, Ayush K Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu

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Landing page: https://arxiv.org/abs/2405.09546

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PDF URL: https://arxiv.org/pdf/2405.09546

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OA URL: https://arxiv.org/pdf/2405.09546

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Concepts: Suite, Computer science, Artificial intelligence, Computer vision, Computer graphics (images), Human–computer interaction, Geography, Archaeology

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Cited by: 1

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abstract_inverted_index.benchmark,	96
abstract_inverted_index.conditions	11
abstract_inverted_index.continuous	163
abstract_inverted_index.controlled	147
abstract_inverted_index.customized	20, 79
abstract_inverted_index.diversity,	58
abstract_inverted_index.evaluating	156, 168, 181
abstract_inverted_index.evaluation	2, 84
abstract_inverted_index.generation	144
abstract_inverted_index.generators	32
abstract_inverted_index.parameters	105, 141
abstract_inverted_index.real-world	23
abstract_inverted_index.robustness	158
abstract_inverted_index.scenarios:	154
abstract_inverted_index.systematic	1, 83
abstract_inverted_index.Researchers	136
abstract_inverted_index.application	153
abstract_inverted_index.arbitrarily	138
abstract_inverted_index.placement),	113
abstract_inverted_index.prediction.	193
abstract_inverted_index.properties.	62
abstract_inverted_index.unrealistic	60
abstract_inverted_index.BEHAVIOR-1K.	97
abstract_inverted_index.alternative,	36
abstract_inverted_index.experiments.	148
abstract_inverted_index.particularly	37
abstract_inverted_index.comprehensive	18
abstract_inverted_index.understanding	4, 170
abstract_inverted_index.configuration,	119
abstract_inverted_index.systematically	155
abstract_inverted_index.simulation-to-real	182
abstract_inverted_index.https://behavior-vision-suite.github.io/	196
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	23
citation_normalized_percentile