Video Salient Object Detection via Fully Convolutional Networks
Video Salient Object Detection via Fully Convolutional Networks 本文提出了深度学习模型来有效检测视频中的显著性区域。它解决了两个重要的问题：1）深度视频显著模型训练缺乏足够多的像素注释视频；2）快速视频显著性训练和检测。 提出的深度视频显著性网络包含两个模型来分别获取空间和时间显著性信息。动态显著性模型直接包含基于静态显著性模型的显著
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- 1. 【视频显著性检测】Video Salient Object Detection via Fully Convolutional Networks【论文笔记】
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- 4. R-FCN: Object Detection via Region-based Fully Convolutional Networks 论文笔记
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- 8. R-FCN: Object Detection via Region-based Fully Convolutional Networks（2016）论文综述
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相关文章
- 1. 【视频显著性检测】Video Salient Object Detection via Fully Convolutional Networks【论文笔记】
- 2. R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 3. 《R-FCN: Object Detection via Region-based Fully Convolutional Networks》论文详解
- 4. R-FCN: Object Detection via Region-based Fully Convolutional Networks 论文笔记
- 5. R-FCN(Object Detection via Region-based Fully Convolutional Networks) 学习笔记
- 6. 论文笔记 R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 7. 论文阅读理解 - R-FCN: Object Detection via Region-based Fully Convolutional Networks
- 8. R-FCN: Object Detection via Region-based Fully Convolutional Networks（2016）论文综述
- 9. R-FCN论文笔记（R-FCN: Object Detection via Region-based Fully Convolutional Networks）
- 10. FCOS: Fully Convolutional One-Stage Object Detection