Inner-Imaging Networks: Put Lenses into Convolutional Structure

22 Apr 2019 Yang Hu Guihua Wen Mingnan Luo Dan Dai Wenming Cao Zhiwen Yu Wendy Hall

Despite the tremendous success in computer vision, deep convolutional networks suffer from serious computation costs and redundancies. Although previous works address this issue by enhancing diversities of filters, they have not considered the complementarity and the completeness of the internal structure of the convolutional network... (read more)

PDF Abstract
No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper