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## 一言でいうと
高速な物体検知を1ネットワークで行う研究。YOLOv2高速版のFast YOLOに速度は若干劣るものの、精度はFaster-RCNNと同等で上回る(素のYOLOよりは早い)。シンプルなEnd-to-Endのネットワークで、マルチスケールに対応するためネットワーク後方に複数サイズの特徴マップを持ち、異なるアスペクト比の物体に対応するためアスペクト比ごとに出力を分けて学習して…
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# SSD: Single Shot MultiBox Detector #
- Author: Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg
- Origin: https://arxiv.org/abs/1512.023…
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https://arxiv.org/abs/1512.02325
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https://louishsu.xyz/2019/09/02/SSD-Single-Shot-MultiBox-Detector/
IntroductionSSD主要做了以下工作 设计了one-stage检测算法，比同样是one-stage的YOLOv1更快更准确，相比较Faster R-CNN等two-stage检测算法，在不降低准确率的情况下速度更快； 其核心是用小卷积核，对特征图进…
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I understand the current implementation retrieves all `"//*[not(child::*)]"` elements (which means all elements without children?) by XPath and predicts each category of the element image in parallel.…
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# Reference
- [ ] [最全最先进的检测算法对比Faster R-CNN, R-FCN, SSD, FPN, RetinaNet and YOLOv3](https://www.jianshu.com/p/0586fdb412bf?utm_source=oschina-app)
- [ ] [SSD(Single Shot MultiBox Detector)不得不说的那些事…
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Hi
How can I use single shot multibox detector (SSD) for face recognition.
How can we detect the face and classify to recognize that face using a single model.
Please provide me the steps to tra…
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# Load SSD model
* Used model architecture: [SSD: Single-Shot Multibox Detector](https://arxiv.org/abs/1512.02325)
* Github repo: [ssd_keras](https://github.com/pierluigiferrari/ssd_keras) by @pierl…
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### Feature Name
SSD Object Detection Algorithm
### Feature Description
The SSD (Single Shot MultiBox Detector) is an efficient deep learning algorithm for real-time object detection. It processes …
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I have a question about the performance of deconvolution applied in ms-cnn.
did you check the performance of object detection with deconvolution on KITTI benchmark test images?
I want to know how mu…