In my previous posts about Memorability (see the project link above), I’ve been talking about the performance of my models fairly matter-of-factly. I’ve been comparing their scores on things, reporting them in abstracts, and talking about how one model performs better than another, and why I think that is happening. Some questions arise though, for example, why did I get such a vastly different score with MemNet than what Khosla et al.