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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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What is the reason behind using a test batch size?

If one examines the SSD: Single Shot MultiBox Detector code from this GitHub repository, it can be seen that, for a testing phase (evaluating network on test data set), there is a parameter ...
1 vote
0 answers

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 vote
0 answers

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). ...
2 votes
0 answers

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 ...
3 votes
1 answer

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 ...