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RyanWW/Super-CLEVR

Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning [CVPR 2023 Highlight (top 2.5%)] Paper: Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning Authors: Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan Yuille Dataset Description Super-CLEVR is a synthetic dataset designed to systematically study the domain robustness of visual reasoning models across… See the full description on the dataset page: https://huggingface.co/datasets/RyanWW/Super-CLEVR.

Author / organizationRyanWW
License (as declared)mit
Downloads3.1K (as reported by Hugging Face)
Likes0
Created19 February 2026
Last updated at source17 June 2026
visual-reasoningVQAsyntheticdomain-robustnessCLEVR
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