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Segmenting objects in videos without human annotations: Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping (CVPR 2023)
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. Segmenting objects in videos without human annotations: Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping (CVPR 2023) just got measured.
4/10 means Segmenting objects in videos without human annotations: Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping (CVPR 2023) is borderline visible. AI bots can crawl your site but your structured-data signals are thin. You are at risk of being skipped when buyers ask AI for a recommendation.
About Segmenting objects in videos without human annotations: Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping (CVPR 2023)
[CVPR 2023] Segmenting objects in videos without human annotations: Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
Key Topics
Details
Category: Technology
rcf-video.github.ioAI Visibility Breakdown
1
Structured Data
5
Content Structure
5
Entity Clarity
3
E-E-A-T Signals
6
Technical AEO
3
AI Discoverability
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Source & Attribution
Scored by Engagemii on May 25, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/rcf-video-github-io
Cite this score: Engagemii (2026). "AEO Score for Segmenting objects in videos without human annotations: Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping (CVPR 2023)." Retrieved from https://engagemii.com/aeo/brands/rcf-video-github-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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