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Add comprehensive YOLO-World architecture documentation in Chinese#642

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0xyangl:claude/document-paper-architecture-01WEYkDWEkHTsMexXWVeo4R2
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Add comprehensive YOLO-World architecture documentation in Chinese#642
0xyangl wants to merge 1 commit intoAILab-CVC:masterfrom
0xyangl:claude/document-paper-architecture-01WEYkDWEkHTsMexXWVeo4R2

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@0xyangl 0xyangl commented Nov 17, 2025

This document provides a detailed explanation of the YOLO-World paper architecture, including:

  • Overview of the multi-modal detection framework
  • Detailed breakdown of all core modules (Backbone, Neck, Head, Detector)
  • Code locations for each component
  • Key innovations (RepVL-PAN, Region-Text Contrastive Loss, Prompt-then-Detect)
  • Training strategies and loss functions
  • Inference pipeline and reparameterization
  • Version evolution (V1, V2, V2.1)

This document provides a detailed explanation of the YOLO-World paper architecture,
including:
- Overview of the multi-modal detection framework
- Detailed breakdown of all core modules (Backbone, Neck, Head, Detector)
- Code locations for each component
- Key innovations (RepVL-PAN, Region-Text Contrastive Loss, Prompt-then-Detect)
- Training strategies and loss functions
- Inference pipeline and reparameterization
- Version evolution (V1, V2, V2.1)
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