A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

时间 2020-12-24

标签 A-Fast-RCNN Hard Positive Generation via A GAN 繁體版

原文原文链接

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection 摘要我们如何学习一个对遮挡和变形不变的物体检测器？我们目前的解决方案是使用数据驱动策略 - 收集具有不同条件下的对象实例的大规模数据集。希望最终的分类器可以使用这些例子来学习不变性。但是真的有可能看到数据集中的所有遮挡？我们认为像类别，遮挡和对象变形也

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1. A-Fast-RCNN:Hard Positive Generation via Adversary for Object Detection
2. CVPR17论文有感：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
3. 阅读小结：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
4. [论文笔记]A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
5. 对抗学习用于目标检测--A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
6. [深度学习论文笔记][CVPR 17 oral]A-Fast-RCNN： Hard Positive Generation via Adversary for Object Detection
7. CVPR 2018 SINT++:《SINT++: Robust Visual Tracking via Adversarial Hard Positive Generation》论文笔记
8. Object Detection.... (更新中....)
9. Metrics for object detection
10. Metrics-for-object-detection
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1. A-Fast-RCNN:Hard Positive Generation via Adversary for Object Detection
2. CVPR17论文有感：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
3. 阅读小结：A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
4. [论文笔记]A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
5. 对抗学习用于目标检测--A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
6. [深度学习论文笔记][CVPR 17 oral]A-Fast-RCNN： Hard Positive Generation via Adversary for Object Detection
7. CVPR 2018 SINT++:《SINT++: Robust Visual Tracking via Adversarial Hard Positive Generation》论文笔记
8. Object Detection.... (更新中....)
9. Metrics for object detection
10. Metrics-for-object-detection

>>更多相关文章<<