GitHub - zhreshold/mxnet-ssd: MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ ssd
![SSD model with mobilenet feature extractor is not converging . · Issue #2193 · tensorflow/models · GitHub SSD model with mobilenet feature extractor is not converging . · Issue #2193 · tensorflow/models · GitHub](https://user-images.githubusercontent.com/16892570/29209588-f32ff10e-7eac-11e7-978f-11068b14c123.png)
SSD model with mobilenet feature extractor is not converging . · Issue #2193 · tensorflow/models · GitHub
GitHub - zhreshold/mxnet-ssd: MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ ssd
![What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)? | by Jonathan Hui | Medium What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)? | by Jonathan Hui | Medium](https://miro.medium.com/v2/resize:fit:1400/1*rfj_5yjKZm2LJvVzMXmLFA.png)
What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)? | by Jonathan Hui | Medium
Face-Recognition-using-Opencv-/res10_300x300_ssd_iter_140000.caffemodel at master · shiyazt/Face-Recognition-using-Opencv- · GitHub
GitHub - amolikvivian/Caffe-SSD-Object-Detection: Object Detection using Single Shot MultiBox Detector with Caffe MobileNet on OpenCV in Python.
![What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)? | by Jonathan Hui | Medium What do we learn from single shot object detectors (SSD, YOLOv3), FPN & Focal loss (RetinaNet)? | by Jonathan Hui | Medium](https://miro.medium.com/v2/resize:fit:1400/1*tE6DUwv6VIHu1KlwYmSBTw.jpeg)