RRepoGEO

REPOGEO REPORT · LITE

amusi/ICCV2025-Papers-with-Code

Default branch main · commit 80ac8ca6 · scanned 5/13/2026, 8:42:31 AM

GitHub: 2,878 stars · 256 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 amusi/ICCV2025-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 clarify usage rights

    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. For example, if you intend an MIT license, the content would be:
    ```
    MIT License
    
    Copyright (c) [YEAR] [FULL NAME]
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
    ```
  • highhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL in the GitHub repository settings to `https://github.com/amusi/ICCV2025-Papers-with-Code` (or any other official project page if one exists). This helps AI link the repo to its primary online presence.
  • mediumreadme#3
    Add a concise, explicit positioning statement to the README's opening

    Why:

    CURRENT
    # ICCV 2025 论文和开源项目合集(Papers with Code)
    COPY-PASTE FIX
    # ICCV 2025 论文和开源项目合集(Papers with Code)
    
    这是一个持续更新的精选列表,汇集了国际计算机视觉大会 (ICCV 2025) 的最新研究论文及其开源代码实现。本仓库旨在为计算机视觉研究者和爱好者提供一个便捷的资源中心,追踪前沿进展。

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/ICCV2025-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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 1×
  2. arXiv Sanity Preserver · recommended 1×
  3. GitHub Trending · recommended 1×
  4. CVF Open Access · recommended 1×
  5. Awesome Computer Vision · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of recent computer vision research papers with code?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv Sanity Preserver
    3. GitHub Trending
    4. CVF Open Access
    5. Awesome Computer Vision
    6. Reddit
    7. Twitter

    AI recommended 7 alternatives but never named amusi/ICCV2025-Papers-with-Code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the newest open-source implementations for object detection and semantic segmentation tasks?
    you: not recommended
    AI recommended (in order):
    1. YOLOv9
    2. Segment Anything Model (SAM)
    3. YOLO-World
    4. Detectron2
    5. MMDetection
    6. Ultralytics YOLO

    AI recommended 6 alternatives but never named amusi/ICCV2025-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/ICCV2025-Papers-with-Code?
    pass
    AI did not name amusi/ICCV2025-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/ICCV2025-Papers-with-Code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named amusi/ICCV2025-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/ICCV2025-Papers-with-Code solve, and who is the primary audience?
    pass
    AI did not name amusi/ICCV2025-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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  • Brand-free category queries5 vs 2 in Lite
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