RRepoGEO

REPOGEO REPORT · LITE

52CV/CV-Surveys

Default branch main · commit 29d478f0 · scanned 5/20/2026, 4:17:23 AM

GitHub: 2,255 stars · 253 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
30 /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
3 / 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/CV-Surveys, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    Add topics: `computer-vision`, `survey-papers`, `literature-review`, `deep-learning`, `object-detection`, `image-processing`, `ai-research`, `awesome-list`
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file (e.g., `LICENSE.md`) in the root directory with a suitable open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumreadme#3
    Add a concise introductory sentence to the README

    Why:

    CURRENT
    The README starts with navigation links and then '2025-CV-Surveys\n2025 年，计算机视觉相关综述。包括目标检测、跟踪........'
    COPY-PASTE FIX
    Add the following sentence as the very first line of the README: 'This repository, 52CV/CV-Surveys, curates a comprehensive collection of recent survey papers in computer vision, covering key areas like object detection, tracking, and emerging subfields.'

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/CV-Surveys
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv.org
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 2×
  2. Google Scholar · recommended 2×
  3. CVF Open Access · recommended 2×
  4. Papers With Code · recommended 2×
  5. IEEE Xplore Digital Library · recommended 1×
  • CATEGORY QUERY
    I need to find a collection of recent survey papers for computer vision research.
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. CVF Open Access
    4. IEEE Xplore Digital Library
    5. SpringerLink
    6. ACM Digital Library
    7. Papers With Code

    AI recommended 7 alternatives but never named 52CV/CV-Surveys. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I access up-to-date literature reviews on emerging computer vision subfields?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Distill.pub
    3. Google Scholar
    4. CVF Open Access
    5. Towards Data Science (Medium)
    6. Papers With Code
    7. IEEE Xplore / ACM Digital Library

    AI recommended 7 alternatives but never named 52CV/CV-Surveys. 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/CV-Surveys?
    pass
    AI named 52CV/CV-Surveys 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/CV-Surveys in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 52CV/CV-Surveys 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/CV-Surveys solve, and who is the primary audience?
    pass
    AI named 52CV/CV-Surveys explicitly

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

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MARKDOWN (README)
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52CV/CV-Surveys — 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