RRepoGEO

REPOGEO REPORT · LITE

52CV/CVPR-2021-Papers

Default branch main · commit 81563f57 · scanned 6/19/2026, 11:43:01 PM

GitHub: 2,537 stars · 312 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
17 /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
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 52CV/CVPR-2021-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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A categorized and continuously updated index of accepted papers from CVPR 2021, with links to official sources and further summaries.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    cvpr, computer-vision, deep-learning, research-papers, paper-list, paper-summaries, conference-papers, ai, machine-learning
  • highlicense#3
    Clarify the repository's license in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, for example: "## License
This repository's content (the list, categorization, and summaries) is provided under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Individual papers linked herein are subject to their respective publishers' copyrights."

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-2021-Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. CVF Open Access · recommended 2×
  3. arXiv.org · recommended 1×
  4. Google Scholar · recommended 1×
  5. NeurIPS · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of recent computer vision research papers?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. CVF Open Access
    4. Google Scholar
    5. NeurIPS
    6. ICML
    7. ICLR
    8. Twitter

    AI recommended 8 alternatives but never named 52CV/CVPR-2021-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to find categorized summaries of accepted papers from major computer vision conferences?
    you: not recommended
    AI recommended (in order):
    1. CVF Open Access
    2. Papers With Code
    3. arXiv
    4. Connected Papers
    5. Semantic Scholar
    6. Elicit
    7. Two Minute Papers
    8. Yannic Kilcher

    AI recommended 8 alternatives but never named 52CV/CVPR-2021-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-2021-Papers?
    pass
    AI did not name 52CV/CVPR-2021-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?

  • If a team adopts 52CV/CVPR-2021-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 52CV/CVPR-2021-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-2021-Papers solve, and who is the primary audience?
    pass
    AI did not name 52CV/CVPR-2021-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?

Embed your GEO score

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MARKDOWN (README)
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52CV/CVPR-2021-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