Choosing an appropriate loss function is important as it affects the ability of the algorithm to produce optimum results as fast as possible.
The most important thing that the computer vision expert does is to decide which annotation type is needed to build the most accurate model(s).
State-of-the-Art Semantic Segmentation models need to be tuned in terms of memory consumption and fps output to be used in time-sensitive applications like autonomous vehicles. Here we study models like FCN, SegNets, ENets, and ICNets.
With so much research in AI and evolving applications, it can be difficult to keep track of all the confusing terms in artificial intelligence. In this post, I attempt to pen-down common terms and their definitions that crops up when discussing artificial intelligence. You can use this as a handy reference tool in 2017 and beyond.