SSD: Single Shot MultiBox Detector · HackerPapers discussions

SSD: Single Shot MultiBox Detector — mentioned by joshvm

Sat, 22 Feb 2020 16:01:52 GMT

I don't think pjreddie invented SSD, at least he's not on the author list. https://arxiv.org/abs/1512.02325 Yolo is great though and a fork is very actively maintained on GitHub at alexeyAB/darknet. Darknet itself is a nice library that doesn't need any dependencies aside from CUDA. It's all C (albeit uncommented) and quite easy to walk through if you want to see at a low level how deep learning frameworks work.

Paper and discussion history. A mention is not an endorsement.

SSD: Single Shot MultiBox Detector — mentioned by skirmish

Mon, 21 Oct 2019 01:44:26 GMT

For detecting objects in video, take a look at: https://github.com/tensorflow/models/tree/master/research/ls... It uses SSD object detector (https://arxiv.org/abs/1512.02325 , https://lambdalabs.com/blog/how-to-implement-ssd-object-dete...) on each frame, then runs LSTM on top of it to collect information across video frames. The trained model can be run on mobile devices via Tflite.

Paper and discussion history. A mention is not an endorsement.

SSD: Single Shot MultiBox Detector — mentioned by edshiro

Wed, 08 Nov 2017 11:30:26 GMT

There are quite a few papers that discuss the application R-CNN (Region-based Convolutional Neural Network) for object detection and classification [1-3]. On websites such as Medium, you can find lots of blog posts on object detection using popular frameworks such as Tensorflow (e.g. https://towardsdatascience.com/how-to-train-your-own-object-...). [1] Faster R-CNN: https://arxiv.org/abs/1506.01497 [2] Single Shot Multibox: https://arxiv.org/abs/1512.02325 [3] YOLO9000: https://arxiv.org/abs/1612.08242

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SSD: Single Shot MultiBox Detector — HN submission

Thu, 10 Nov 2016 04:42:11 GMT

State of the Art Dnn. Single Shot MultiBox Detector

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.