GYee/CV_interviews_Q-A resource

Health v2 · maintenance only

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1802 stars · 268 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated Chinese-language collection of computer vision algorithm engineer interview questions and answers, organized into computer vision, machine learning, image processing, and C++ fundamentals. It provides detailed explanations of core concepts like convolution, batch normalization, NMS, backpropagation, and optimization.

Use cases

• prepare for computer vision algorithm engineer interviews
• review deep learning fundamentals like BN layers and backpropagation
• study common CV interview questions with detailed answers
• brush up on image processing and C++ basics before job interviews
• find a structured question bank for ML/CV job hunting

When to choose

• you are preparing for a CV/ML algorithm role interview and want curated Q&A in Chinese
• you want concise explanations of classic deep learning and image processing interview topics
• you prefer markdown or PDF study notes over video courses

When to avoid

• you need up-to-date content on modern architectures like transformers or diffusion models, as the repo was last updated in 2021
• you need English-language study material
• you want hands-on code projects rather than conceptual Q&A notes

Facets

learning-resource · maturity maintenance

documentation developer-tools computer-vision machine-learning deep-learning tutorials education cross-platform interview-preparation computer-vision machine-learning image-processing cpp question-bank chinese-language

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markdown · JSON · MCP: product_card(name="GYee/CV_interviews_Q-A")