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amusi/ECCV2024-Papers-with-Code

Default branch master · commit b3864f2e · scanned 5/16/2026, 6:32:37 PM

GitHub: 2,276 stars · 272 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)

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

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 amusi/ECCV2024-Papers-with-Code, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and add its full text. For example, for MIT: "MIT License\n\nCopyright (c) [year] [fullname]\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\nof this software and associated documentation files (the \"Software\"), to deal\nin the Software without restriction, including without limitation the rights\nto use, copy, modify, merge, publish, distribute, sublicense, and/or sell\ncopies of the Software, and to permit persons to whom the Software is\nfurnished to do so, subject to the following conditions:\n\nThe above copyright notice and this permission notice shall be included in all\ncopies or substantial portions of the Software.\n\nTHE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\nIMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\nFITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\nAUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\nLIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\nOUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\nSOFTWARE."
  • highreadme#2
    Reposition the README's opening to explicitly state it's a curated list

    Why:

    CURRENT
    # ECCV 2024 论文和开源项目合集(Papers with Code)
    
    ECCV 2024 decisions are now available!
    COPY-PASTE FIX
    # ECCV 2024 论文和开源项目合集(Papers with Code)
    
    This repository is a community-curated collection of ECCV 2024 research papers and their associated open-source implementations. It aims to provide a centralized resource for computer vision researchers and practitioners to easily discover and access the latest advancements from the conference.
    
    ECCV 2024 decisions are now available!
  • mediumtopics#3
    Add topics that emphasize the repo's role as a curated collection

    Why:

    CURRENT
    computer-vision, deep-learning, eccv, eccv-2020, eccv2020, eccv2022, eccv2024, image-classification, image-segmentation, neural-network, object-detection
    COPY-PASTE FIX
    computer-vision, deep-learning, eccv, eccv-2020, eccv2020, eccv2022, eccv2024, image-classification, image-segmentation, neural-network, object-detection, conference-papers, papers-with-code, research-papers, curated-list, academic-resource

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 amusi/ECCV2024-Papers-with-Code
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. arXiv · recommended 2×
  3. Hugging Face · recommended 2×
  4. GitHub Trending · recommended 1×
  5. Google Scholar · recommended 1×
  • CATEGORY QUERY
    I need to find the latest computer vision research papers and their open-source code.
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv
    3. GitHub Trending
    4. Hugging Face
    5. Google Scholar
    6. Semantic Scholar
    7. CVF Open Access
    8. Twitter

    AI recommended 8 alternatives but never named amusi/ECCV2024-Papers-with-Code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a comprehensive collection of recent deep learning conference papers with implementations.
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv
    3. GitHub
    4. Hugging Face
    5. transformers
    6. GitHub Trending/Search
    7. Awesome Deep Learning/Awesome Machine Learning GitHub Repositories
    8. NeurIPS
    9. ICML
    10. ICLR
    11. Towards Data Science
    12. Medium

    AI recommended 12 alternatives but never named amusi/ECCV2024-Papers-with-Code. 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 amusi/ECCV2024-Papers-with-Code?
    pass
    AI did not name amusi/ECCV2024-Papers-with-Code — 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 amusi/ECCV2024-Papers-with-Code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named amusi/ECCV2024-Papers-with-Code 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 amusi/ECCV2024-Papers-with-Code solve, and who is the primary audience?
    pass
    AI did not name amusi/ECCV2024-Papers-with-Code — 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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amusi/ECCV2024-Papers-with-Code — RepoGEO report