yolov4

最新推荐文章于 2025-10-21 21:30:52 发布

转载最新推荐文章于 2025-10-21 21:30:52 发布 · 401 阅读

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原文链接：https://github.com/AlexeyAB/darknet/wiki/YOLOv4-model-zoo

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本文详细介绍了YOLOv4系列目标检测模型的不同版本，包括YOLOv4、YOLOv4-Leaky、YOLOv4-SAM-Leaky、YOLOv4-Mish、YOLOv4-SAM-Mish、YOLOv4-CSP和YOLOv4-CSP-SAM。每个版本都基于CSPDarknet53骨干网络，并结合了PANet、SPP等组件，部分版本还加入了SAM空间注意力模块，旨在提高检测精度和速度。

Model descriptions

YOLOv4
- The model in YOLOv4 paper.
- Backbone - CSPDarknet53 with Mish activation
- Neck - PANet with Leaky activation
- Plugin Modules - SPP
- V100 FPS - 62@608x608, 83@512x512
- BFLOPs - 128.5@608x608
YOLOv4-Leaky
- Backbone - CSPDarknet53 with Leaky activation
- Neck - PANet with Leaky activation
- Plugin Modules - SPP
- BFLOPs - 128.5@608x608
YOLOv4-SAM-Leaky
- Backbone - CSPDarknet53 with Leaky activation
- Neck - PANet with Leaky activation
- Plugin Modules - SPP, SAM(Spatial Attention Module)空间注意模块
- BFLOPs - 130.7@608x608
YOLOv4-Mish
- Backbone - CSPDarknet53 with Mish activation
- Neck - PANet with Mish activation
- Plugin Modules - SPP
- BFLOPs - 128.5@608x608
YOLOv4-SAM-Mish
- Backbone - CSPDarknet53 with Mish activation
- Neck - PANet with Mish activation
- Plugin Modules - SPP, SAM
- V100 FPS - 61@608x608, 81@512x512
- BFLOPs - 130.7@608x608
YOLOv4-CSP
- will update
- Backbone - CSPDarknet53 with Mish activation
- Neck - CSPPANet with Mish activation
- Plugin Modules - SPP
YOLOv4-CSP-SAM
- will update
- Backbone - CSPDarknet53 with Mish activation
- Neck - CSPPANet with Mish activation
- Plugin Modules - SPP, SAM