YOLO: Real-Time Object Detection
11–20 of 63 posts
Re: YOLO: Real-Time Object Detection
#12Suprised to see this here since YOLO has been out for a while now. Shameless plug, I wrote an article on how to use use transfer learning on your custom dataset with the pretrained weights [1]. One of the downside of YOLO is that it uses his own deep learning library darknet. I find that the Tensorflow port dark flow easier to use but it haven't seen a v3 port yet. [1] https://www.powu3.com/ml/yolo/
Re: YOLO: Real-Time Object Detection
#13It still seems to be using only the single frame, without past/present context. E.g. a dog sometimes is recognized as teddy bear for a split second. Is there any "continuous" models for that? Sounds like a simple bayesian post-processing would do a great deal (e.g. recording the probability of dogs mutating to teddy bears as very low).
Re: YOLO: Real-Time Object Detection
#14The YOLOv3 paper is pretty delightful: https://arxiv.org/pdf/1804.02767.pdf
Re: YOLO: Real-Time Object Detection
#15The YOLOv3 paper is pretty delightful: https://arxiv.org/pdf/1804.02767.pdf
lmao
Re: YOLO: Real-Time Object Detection
#16Re: YOLO: Real-Time Object Detection
#17Can we also get the orientation of each detected object?
Re: YOLO: Real-Time Object Detection
#18The YOLOv3 paper is pretty delightful: https://arxiv.org/pdf/1804.02767.pdf