RRepoGEO

REPOGEO REPORT · LITE

wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List

Default branch master · commit 41d243fe · scanned 6/3/2026, 6:28:02 AM

GitHub: 761 stars · 107 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 wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List, 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
    Explicitly state the repository's purpose as a curated paper list in the README's opening

    Why:

    CURRENT
    # A Comprehensive Survey on Pedestrian Attribute Recognition > **Pedestrian attribute recognition: A survey**. Xiao Wang, Shaofei Zheng, Rui Yang, Aihua Zheng, Zhe Chen, Jin Tang, and Bin Luo (2022). Pattern Recognition, 121, 108220.
    COPY-PASTE FIX
    # A Comprehensive Survey on Pedestrian Attribute Recognition: A Curated Paper List and Literature Review > This repository serves as a comprehensive, actively maintained collection of research papers and surveys on Pedestrian Attribute Recognition (PAR) and related tasks. It accompanies the survey paper: **Pedestrian attribute recognition: A survey**. Xiao Wang, Shaofei Zheng, Rui Yang, Aihua Zheng, Zhe Chen, Jin Tang, and Bin Luo (2022). Pattern Recognition, 121, 108220.
  • highlicense#2
    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 repository root with the content of the MIT License.
  • mediumtopics#3
    Correct typo and expand repository topics to include content type

    Why:

    CURRENT
    attribute, human-attributes, pedestrian-attribute-recognition, person-searach
    COPY-PASTE FIX
    attribute, human-attributes, pedestrian-attribute-recognition, person-search, computer-vision, deep-learning, survey, paper-list, literature-review, research-papers

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 wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 1×
  2. TensorFlow · recommended 1×
  3. PyTorch · recommended 1×
  4. YOLO (You Only Look Once) · recommended 1×
  5. SSD (Single Shot MultiBox Detector) · recommended 1×
  • CATEGORY QUERY
    How to identify specific attributes of people in surveillance video feeds?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. TensorFlow
    3. PyTorch
    4. YOLO (You Only Look Once)
    5. SSD (Single Shot MultiBox Detector)
    6. Faster R-CNN
    7. ResNet
    8. Inception
    9. DeepSORT
    10. Kalman Filters
    11. CSRT
    12. NVIDIA DeepStream SDK
    13. NVIDIA TensorRT
    14. Azure Cognitive Services
    15. Custom Vision
    16. Face API
    17. Google Cloud Vision AI
    18. AutoML Vision
    19. Amazon Rekognition
    20. Darknet

    AI recommended 20 alternatives but never named wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking research papers and surveys on recognizing human characteristics in visual data.
    you: not recommended
    AI recommended (in order):
    1. FaceNet

    AI recommended 1 alternative but never named wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List. 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 wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List?
    pass
    AI named wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List explicitly

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

  • If a team adopts wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List — 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?

  • In one sentence, what problem does the repo wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List solve, and who is the primary audience?
    pass
    AI did not name wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List — 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

Drop this badge into the README of wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List.svg)](https://repogeo.com/en/r/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List)
HTML
<a href="https://repogeo.com/en/r/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List"><img src="https://repogeo.com/badge/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List — 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