RRepoGEO

REPOGEO REPORT · LITE

gaomingqi/Awesome-Video-Object-Segmentation

Default branch master · commit dbcb7a83 · scanned 6/8/2026, 11:52:39 PM

GitHub: 502 stars · 19 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 gaomingqi/Awesome-Video-Object-Segmentation, 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 README opening to explicitly state 'Awesome List' identity

    Why:

    CURRENT
    Latest Advances in Video Object Segmentation (VOS). VOS works before 2022 can be found in our survey paper:
    COPY-PASTE FIX
    This is an Awesome List: a curated collection of the latest advances in Video Object Segmentation (VOS) – including papers, datasets, and projects. For VOS works before 2022, please refer to our survey paper:
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root to clearly state the terms of use for the content. For a curated list of resources, consider a permissive content license like CC-BY-4.0, or a software license like MIT if there are code contributions.
  • mediumhomepage#3
    Add the survey paper URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    Add `https://link.springer.com/article/10.1007/s10462-022-10176-7` (the survey paper) to the repository's 'Homepage' field in the 'About' section.

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 gaomingqi/Awesome-Video-Object-Segmentation
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv.org · recommended 1×
  2. Google Scholar · recommended 1×
  3. CVF Open Access · recommended 1×
  4. Papers With Code · recommended 1×
  5. Microsoft Academic · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of research papers on video object segmentation?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. CVF Open Access
    4. Papers With Code
    5. Microsoft Academic
    6. IEEE Xplore Digital Library
    7. ACM Digital Library

    AI recommended 7 alternatives but never named gaomingqi/Awesome-Video-Object-Segmentation. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest advancements and datasets available for semi-supervised video object segmentation?
    you: not recommended
    AI recommended (in order):
    1. Mask2Former
    2. Mask DINO
    3. AOT (Asynchronous Online Tracking)
    4. SiamMask
    5. MoCo (Momentum Contrast)
    6. SimCLR
    7. STM (Spatio-Temporal Memory Network)
    8. DAVIS (Densely Annotated VIdeo Segmentation)
    9. YouTube-VOS (YouTube Video Object Segmentation)
    10. Long-Term Video Object Segmentation (LTVOS)
    11. OVIS (Occluded Video Instance Segmentation)
    12. Bursts

    AI recommended 12 alternatives but never named gaomingqi/Awesome-Video-Object-Segmentation. 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 gaomingqi/Awesome-Video-Object-Segmentation?
    pass
    AI did not name gaomingqi/Awesome-Video-Object-Segmentation — 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 gaomingqi/Awesome-Video-Object-Segmentation in production, what risks or prerequisites should they evaluate first?
    pass
    AI named gaomingqi/Awesome-Video-Object-Segmentation 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 gaomingqi/Awesome-Video-Object-Segmentation solve, and who is the primary audience?
    pass
    AI did not name gaomingqi/Awesome-Video-Object-Segmentation — 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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