REPOGEO REPORT · LITE

jiwei0921/SOD-CNNs-based-code-summary-

Default branch master · commit 68467b13 · scanned 6/14/2026, 10:53:16 PM

GitHub: 895 stars · 150 forks

AI VISIBILITY SCORE

15 /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

0 / 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 jiwei0921/SOD-CNNs-based-code-summary-, 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 clarify the repository's purpose in the README's opening

Why:

CURRENT

In this repository, we mainly focus on deep learning based saliency methods (**2D RGB, 3D RGB-D/T, Video SOD and 4D Light Field**) and provide a summary (**Code and Paper**).

COPY-PASTE FIX

This repository serves as a comprehensive, curated read list and summary of **deep learning papers and associated code for Salient Object Detection (SOD)** across various modalities (2D RGB, 3D RGB-D/T, Video SOD, and 4D Light Field). It is *not* a tool for general code summarization, but rather a resource to help researchers and practitioners understand SOD in the deep learning era.

mediumlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root containing the text of a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) that aligns with the project's intended use and distribution.

mediumhomepage#3

Add a homepage URL to the repository's About section

Why:

COPY-PASTE FIX

Add a relevant URL to the repository's 'About' section (e.g., a project website, a related publication, or a GitHub Pages URL if applicable).

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 jiwei0921/SOD-CNNs-based-code-summary-

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Awesome-Salient-Object-Detection

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Awesome-Salient-Object-Detection · recommended 1×
Papers With Code - Salient Object Detection · recommended 1×
arXiv.org · recommended 1×
Google Scholar · recommended 1×
IEEE Xplore / ACM Digital Library · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of deep learning papers for salient object detection?
you: not recommended
AI recommended (in order):
1. Awesome-Salient-Object-Detection
2. Papers With Code - Salient Object Detection
3. arXiv.org
4. Google Scholar
5. IEEE Xplore / ACM Digital Library
6. CVPR/ICCV/ECCV Proceedings
AI recommended 6 alternatives but never named jiwei0921/SOD-CNNs-based-code-summary-. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the latest deep learning methods and code examples for video saliency detection?
you: not recommended
AI recommended (in order):
1. DSTAN
2. PCSA
3. STFAN
4. DeepVS
5. GitHub
6. PaperWithCode.com
7. PyTorch
8. TensorFlow
9. Kaggle
AI recommended 9 alternatives but never named jiwei0921/SOD-CNNs-based-code-summary-. 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 jiwei0921/SOD-CNNs-based-code-summary-?
pass
AI did not name jiwei0921/SOD-CNNs-based-code-summary- — 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 jiwei0921/SOD-CNNs-based-code-summary- in production, what risks or prerequisites should they evaluate first?
pass
AI did not name jiwei0921/SOD-CNNs-based-code-summary- — 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 jiwei0921/SOD-CNNs-based-code-summary- solve, and who is the primary audience?
pass
AI did not name jiwei0921/SOD-CNNs-based-code-summary- — 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 jiwei0921/SOD-CNNs-based-code-summary-. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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jiwei0921/SOD-CNNs-based-code-summary- — 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