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Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
March 5, 2024, 2:44 p.m. | Rujie Wu, Xiaojian Ma, Zhenliang Zhang, Wei Wang, Qing Li, Song-Chun Zhu, Yizhou Wang
cs.LG updates on arXiv.org arxiv.org
Abstract: We introduce Bongard-OpenWorld, a new benchmark for evaluating real-world few-shot reasoning for machine vision. It originates from the classical Bongard Problems (BPs): Given two sets of images (positive and negative), the model needs to identify the set that query images belong to by inducing the visual concepts, which is exclusively depicted by images from the positive set. Our benchmark inherits the few-shot concept induction of the original BPs while adding the two novel layers of …
abstract arxiv benchmark concepts cs.lg few-shot form free identify images machine machine vision negative positive query reasoning set type vision visual visual concepts world
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