A new behavioral battery has been developed to test how well vision models organize visual information, similar to human Gestalt principles. This battery assesses four grouping tasks: mark-color odd-one-out, color-series counting, silhouette recognition, and object odd-one-out. When applied to 45 models across various training families, the battery revealed that some closed models show significantly lower alignment with human perceptual organization than their benchmark accuracy suggests. This scoring method provides a reusable yardstick for visualization research to audit models entering visualization pipelines. AI
RANK_REASON The cluster contains a research paper detailing a new methodology for evaluating vision models. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- Hugging Face
- Influence Flower
- ScienceCast
- Sudhanva Manjunath Athreya
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