Thanks. I don't really have anything to link to. It's just something I decided to attempt as it made sense to me to try it. Person detection is notoriously hard to get right on a small set of data, but when trained on something like COCO, modern person detectors really feel like magic because they are so amazingly good at detecting people even in the weirdest of poses. So I wanted to try and leverage the robustness of a COCO-trained person detector and then fine-tune it for my problem but still have other new classes in my network and this seemed like the way to go about it.