> It's not about just "reading the latest papers and implement them." Somewhat offensive to assume that is the case. I wouldn't take too much offense to it. F

> It's not about just "reading the latest papers and implement them." Somewhat offensive to assume that is the case. I wouldn't take too much offense to it. From my (much smaller) experience in computer vision and pattern recognition, everything in CV sounds easy until you actually do it AND make it work in the real world. Real data, poor lighting, low contrast, realtime, etc. There are just so, so many factors that make this an extremely challenging field. When I was in grad school (2012–2013) the textbooks we used said things like "generalized object recognition is an unsolvable problem". In a lot of ways since then "unsolvable" problems have been solved. The field is just changing so rapidly.