Here's the optical flow paper considered worldwide state of the art for drone navigation: https://arxiv.org/abs/2003.13045

4x Zhejiang University, Hangzhou, China

6x Tencent's Youtu Lab, Shenzhen, China

Before that was released, the previous state of the art was: https://arxiv.org/abs/1904.09117

3x The Chinese University of Hong Kong

1x Tencent AI Lab, Shenzhen, China

In Sintel, a benchmark performed by a German university, both of these also rank higher than the highest-ranked research team including a US citizen. It may not be what people want to hear and/or it maybe an issue of cheating, industry espionage, or global politics, but Chinese research teams ARE world-class at computer vision and have been for at least a year now.

I work in machine learning research and keep up with all of the top papers. I have exited on an ml startup that I founded. Very few coming out of china are top papers. Anyone can publish to arxiv. Measuring whether a model is state of the art is incredibly complex, overfitting to specific datasets is rampant.

Its also ridiculous that I am being downvoted.

The papers that are cited are said to be state of the art by an unrelated German university.

But I'll give you that overfitting is an issue, especially on Sintel.

Still, I did work with selflow myself and it is one of the best. The only issue is with thin objects, but skydio (us startup) is having exactly the same problem.

Is it really that hard to spell "Chinese" correctly? You've done it twice now.

Please don't turn this website into reddit.