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hello everyone my nameamp;#39;s John from Columbia University today I will present our work learning spread-out local feature descriptor and this is a joint work misfit extremely sensitive kuma from Google and professorship which Iamp;#39;m from Columbia University so what is descriptor is traction so basically we are trying to learn modo here we use deep cam illusional Network theyamp;#39;re trying to map a image patch to a point in the descriptor space so the goal of descriptor learning is that we are trying to make the descriptor of the matching patches to be as close as possible where to make the descriptor of the non matching patches as a far away as possible so following the previous research we also consider in learning the scripture indeed imagine of severe or learning l2 no more right descriptor so our idea is to try to spread out a non matching point on the unit sphere so the idea is that if the descriptor is not spread out enough see the figure on the left hand side we ar
