[cjv]

No, I'm not wrong.

Detectron was open sourced in 2018. R-CNN didn't have any public implementations (there was later a Keras implementation that didn't get the same performance as the paper reported). TensorFlow models added some object detection models a few days after I started my internship, but had various issues at the time. SSD and YOLO both had public implementations, YOLO's being in it's own C based framework.

It's a completely different landscape three years later.

[jiayq84]

I don’t want to be mean, but since you mentioned RCNN - no, you are dead wrong. RCNN was open sourced in 2014, check the repo: https://github.com/rbgirshick/rcnn

Not to mention that nvidia has thrown numerous open source efforts over the years. If SR was under the impression that 2017 was a dry year for open source deep learning vision systems - I can understand why it didn’t do very well technology wise.

Disclaimer: have been doing deep learning open source and research over the years. Have touched all major frameworks in the market.