In theory, if the CNN needs an edge detection filter then it will learn it through training the weights. Yes, adding known filters can sometimes improve performance if you know your dataset extremely well. But humans are honestly really bad at programming complex detection tasks like these. The network might not even need those known filters. At which point you are just wasting computation time. Majority of the time its better to just let the network do its thing and learn the filters itself.