Densely Connected Convolutional Networks: CVPR 2017 Best Paper Award Winner (opens in new tab)

(arxiv.org)

29 pointsChaseT8y ago3 comments

3 comments

Seems promising and easy to use in practice.

Am I understanding this correctly? The layers do not combine their inputs. Equation (2)

x_l = H_l([x_0, x_1, . . . , x_l−1])

Could be re-written: x_l = [H_l(x_0), H_l(x_1), . . . , H_l(x_l−1)]

No, inputs to each layer are concatenated before being passed through H.

j / k navigate · click thread line to collapse

Seems promising and easy to use in practice.

Am I understanding this correctly? The layers do not combine their inputs. Equation (2)

x_l = H_l([x_0, x_1, . . . , x_l−1])

Could be re-written: x_l = [H_l(x_0), H_l(x_1), . . . , H_l(x_l−1)]

No, inputs to each layer are concatenated before being passed through H.

j / k navigate · click thread line to collapse