RRepoGEO

REPOGEO REPORT · LITE

52CV/CVPR-2024-Papers

Default branch main · commit 0abacbe4 · scanned 5/20/2026, 7:08:05 AM

GitHub: 1,138 stars · 64 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 52CV/CVPR-2024-Papers, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a clear, concise introductory sentence to the README after the main title

    Why:

    CURRENT
    # CVPR-2024-Papers
    COPY-PASTE FIX
    # CVPR-2024-Papers

This repository offers a comprehensive and categorized collection of papers from CVPR 2024, designed to help researchers and students easily navigate the latest advancements in computer vision.
  • mediumlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a file named `LICENSE` in the root of your repository and paste the full text of the MIT License into it.

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 52CV/CVPR-2024-Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv Sanity Preserver
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv Sanity Preserver · recommended 2×
  2. Papers With Code · recommended 2×
  3. CVF Open Access · recommended 2×
  4. Reddit · recommended 1×
  5. Twitter · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of the latest computer vision research papers?
    you: not recommended
    AI recommended (in order):
    1. arXiv Sanity Preserver
    2. Papers With Code
    3. CVF Open Access
    4. Reddit
    5. Twitter
    6. The Batch

    AI recommended 6 alternatives but never named 52CV/CVPR-2024-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to access summaries or categorized lists of top computer vision conference papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv Sanity Preserver
    3. CVF Open Access
    4. Distill.pub
    5. NeurIPS proceedings
    6. ICML proceedings
    7. ICLR proceedings
    8. Two Minute Papers
    9. Yannic Kilcher
    10. CVPR
    11. ICCV
    12. ECCV

    AI recommended 12 alternatives but never named 52CV/CVPR-2024-Papers. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 52CV/CVPR-2024-Papers?
    pass
    AI named 52CV/CVPR-2024-Papers explicitly

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

  • If a team adopts 52CV/CVPR-2024-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 52CV/CVPR-2024-Papers 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 52CV/CVPR-2024-Papers solve, and who is the primary audience?
    pass
    AI did not name 52CV/CVPR-2024-Papers — 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?

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52CV/CVPR-2024-Papers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite