RRepoGEO

REPOGEO REPORT · LITE

yarkable/Awesome-Computer-Vision-Paper-List

Default branch main · commit 040ee9fe · scanned 6/5/2026, 5:17:36 AM

GitHub: 761 stars · 81 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface yarkable/Awesome-Computer-Vision-Paper-List, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's introduction to highlight its value proposition

    Why:

    CURRENT
    This repository aims to collect recently accepted papers on AI conferences. One can search here if there already exists some papers that have same idea as his/hers conveniently, or search all the papers with different research areas. Papers are grabbed from official website to ensure all the information are correct. Just enjoy it :D
    COPY-PASTE FIX
    This repository provides a comprehensive, curated, and searchable list of accepted papers from major Computer Vision and AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, AAAI). It's designed for researchers, students, and practitioners to easily discover, track, and navigate the latest advancements in the field, ensuring all information is directly sourced from official conference websites.
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/yarkable/Awesome-Computer-Vision-Paper-List
  • mediumabout#3
    Refine the repository description for clarity and keywords

    Why:

    CURRENT
    This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.
    COPY-PASTE FIX
    A curated, searchable list of accepted papers from top Computer Vision and AI conferences (CVPR, ECCV, ICCV, NeurIPS, AAAI, etc.), designed for researchers to easily track and discover the latest research.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface yarkable/Awesome-Computer-Vision-Paper-List
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Twitter
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Twitter · recommended 2×
  2. Papers With Code · recommended 1×
  3. CVF Open Access · recommended 1×
  4. arXiv Sanity Preserver · recommended 1×
  5. Synced · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of recent computer vision conference papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. CVF Open Access
    3. arXiv Sanity Preserver
    4. Twitter
    5. Synced
    6. The Batch by DeepLearning.AI
    7. Reddit

    AI recommended 7 alternatives but never named yarkable/Awesome-Computer-Vision-Paper-List. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to keep up with the latest accepted papers from major AI conferences?
    you: not recommended
    AI recommended (in order):
    1. NeurIPS Proceedings
    2. ICML Proceedings
    3. ICLR OpenReview
    4. CVPR Open Access
    5. ACL Anthology
    6. AAAI Proceedings
    7. KDD Proceedings
    8. arXiv.org
    9. arXiv Sanity Preserver (karpathy/arxiv-sanity-preserver)
    10. Paper with Code
    11. Twitter
    12. Google Scholar
    13. Semantic Scholar
    14. r/MachineLearning
    15. r/DeepLearning

    AI recommended 15 alternatives but never named yarkable/Awesome-Computer-Vision-Paper-List. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of yarkable/Awesome-Computer-Vision-Paper-List?
    pass
    AI did not name yarkable/Awesome-Computer-Vision-Paper-List — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts yarkable/Awesome-Computer-Vision-Paper-List in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yarkable/Awesome-Computer-Vision-Paper-List explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo yarkable/Awesome-Computer-Vision-Paper-List solve, and who is the primary audience?
    pass
    AI did not name yarkable/Awesome-Computer-Vision-Paper-List — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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yarkable/Awesome-Computer-Vision-Paper-List — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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