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README.md

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@@ -434,7 +434,7 @@ SmartJavaAI是专为JAVA 开发者打造的一个功能丰富、开箱即用的
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```xml
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<dependency>
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<groupId>cn.smartjavaai</groupId>
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<artifactId>smartjavaai-all</artifactId>
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<artifactId>all</artifactId>
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<version>1.0.25</version>
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</dependency>
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```
@@ -471,13 +471,17 @@ SmartJavaAI是专为JAVA 开发者打造的一个功能丰富、开箱即用的
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**人脸识别模型(FaceRecognition)**
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| 模型名称 | 引擎 | 模型简介 | 模型开源网站 |
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|-------------------------------|---------|--------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------|
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| InsightFace_IR-SE50(高精度) | PyTorch | 这是对 ArcFace(论文)和 InsightFace(GitHub)的 PyTorch 重新实现 | [Github](https://github.com/TreB1eN/InsightFace_Pytorch) |
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| InsightFace_Mobilefacenet(极速) | PyTorch | (轻量级)这是对 ArcFace(论文)和 InsightFace(GitHub)的 PyTorch 重新实现 | [Github](https://github.com/TreB1eN/InsightFace_Pytorch) |
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| FaceNet(均衡) | PyTorch | 基于 PyTorch 的 Inception ResNet(V1)模型仓库 | [Github](https://github.com/timesler/facenet-pytorch) |
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| ElasticFace(高精度) | PyTorch | 基于 CVPRW2022 论文《ElasticFace: Elastic Margin Loss for Deep Face Recognition》实现的人脸识别模型 | [Github](https://github.com/fdbtrs/ElasticFace) |
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| SeetaFace6(均衡) | C++ | 中科视拓最新开放的开源免费的全栈人脸识别工具包 | [Github](https://github.com/seetafaceengine/SeetaFace6) |
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| 模型名称 | 引擎 | 模型简介 | 模型开源网站 |
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|-------------------------------|---------------------|--------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------|
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| InsightFace_IR-SE50(高精度) | PyTorch | 这是对 ArcFace(论文)和 InsightFace(GitHub)的 PyTorch 重新实现 | [Github](https://github.com/TreB1eN/InsightFace_Pytorch) |
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| InsightFace_Mobilefacenet(极速) | PyTorch | (轻量级)这是对 ArcFace(论文)和 InsightFace(GitHub)的 PyTorch 重新实现 | [Github](https://github.com/TreB1eN/InsightFace_Pytorch) |
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| FaceNet | PyTorch | 基于 PyTorch 的 Inception ResNet(V1)模型仓库 | [Github](https://github.com/timesler/facenet-pytorch) |
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| ElasticFace | PyTorch | 基于 CVPRW2022 论文《ElasticFace: Elastic Margin Loss for Deep Face Recognition》实现的人脸识别模型 | [Github](https://github.com/fdbtrs/ElasticFace) |
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| SeetaFace6 | C++ | 中科视拓最新开放的开源免费的全栈人脸识别工具包 | [Github](https://github.com/seetafaceengine/SeetaFace6) |
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| SphereFace-20A | PyTorch+OnnxRuntime | SphereFace:Deep Hypersphere Embedding for Face Recognition | [Github](https://github.com/wy1iu/sphereface) |
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| DREAM_IJBA_RES18 | OnnxRuntime | DREAM block for Pose-Robust Face Recognition | [Github](https://github.com/penincillin/DREAM) |
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| face.evoLVe | PyTorch | High-Performance Face Recognition Library based on PaddlePaddle & PyTorch | [Github](https://github.com/ZhaoJ9014/face.evoLVe) |
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| VGGFace2 | PyTorch | PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'. | [Github](https://github.com/cydonia999/VGGFace2-pytorch) |
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**静态活体检测(RGB)模型(Silent face-anti-spoofing、FaceLivenessDetection)**

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