Questions tagged [single-shot-multibox-detector]

For questions related to the "Single Shot MultiBox Detector" (SSD), proposed in "SSD: Single Shot MultiBox Detector" (2016) by Wei Liu et al.

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When doing transfer learning, which initial layers do we need to freeze, and how should I change the last layer for my task?

I want to train a neural network for the detection of a single class, but I will be extending it to detect more classes. To solve this task, I selected the PyTorch framework. I came across transfer ...
2
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0answers
66 views

How are nested bounding boxes handled in object detection (and in particular in the case of the SSD)?

The basic approach to non-maximum-suppression makes sense, but I am kind of confused about how you handle nested bounding boxes. Suppose you have two predicted boxes, with one completely enclosing ...
1
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0answers
23 views

Does MobileNet SSD v2 only capture aleatoric uncertainty (and so not the epistemic one)?

Regarding the MobileNet SSD v2 model, I was wondering to what extend it captures uncertainty of the predictions. There are 2 types of uncertainty, data uncertainty (aleatoric) and model uncertainty (...
1
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0answers
106 views

What are the main differences between YOLOv3 and RetinaNet object detection algorithms?

I am looking at a certain project that compares performance on a certain dataset for an object detection problem using YOLOv3 and RetinaNet (or the "SSD_ResNet50_FPN" from TF Model Zoo). ...
0
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2answers
3k views

Is it possible to run SSD or YOLO object detection on Raspberry Pi 3 for live object detection?

Is it possible to run SSD or YOLO object detection on Raspberry Pi 3 for live object detection (2/4frames x second)? I've tried this SSD implementation but it takes 14 s per frame. Is there anything I ...