US 11,055,549 B2
Network, system and method for image processing
Yugang Jiang, Shanghai (CN); Yanwei Fu, Shanghai (CN); Changmao Cheng, Shanghai (CN); and Xiangyang Xue, Shanghai (CN)
Assigned to FUDAN UNIVERSITY, Shanghai (CN)
Filed by Fudan University, Shanghai (CN)
Filed on May 20, 2019, as Appl. No. 16/417,619.
Prior Publication US 2020/0026942 A1, Jan. 23, 2020
Int. Cl. G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06N 3/063 (2006.01); G06N 3/08 (2006.01)
CPC G06K 9/00979 (2013.01) [G06K 9/6217 (2013.01); G06K 9/6286 (2013.01); G06N 3/04 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A network of image processing, especially for coarse-to-fine recognition, comprising:
a shared convolution layer; and
a first subnet and a second subnet both subsequent to the shared convolution layer;
wherein the first subnet comprises
a first skipping module comprising one or more skip-dense blocks iteratively stacked with one or more transition layers;
a first pooling layer subsequent to the first skipping module, and
a first classification layer subsequent to the first pooling layer;
wherein the second subnet comprises
a second skipping module comprising one or more skip-dense blocks iteratively stacked with one or more layers;
a second pooling layer subsequent to the second skipping module, and
a second classification layer subsequent to the second pooling layer; and
wherein a skip-dense block of the second subnet is selected to guide a transition layer of the first subnet, and the level of the guiding skip-dense block is deeper than the level of the guided transition layer.