Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification

28 December 2019

Papers citing "Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification"

8 / 8 papers shown

Title
Deep Learning for Hyperspectral Image Classification: An Overview Shutao Li Weiwei Song Leyuan Fang Yushi Chen Pedram Ghamisi J. Benediktsson 53 1,250 0 26 Oct 2019
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification Renlong Hang Qingshan Liu Danfeng Hong Pedram Ghamisi 35 631 0 28 Feb 2019
Deep Metric Learning with Angular Loss Jian Wang Feng Zhou Shilei Wen Xiao-Chang Liu Yuanqing Lin DML 70 505 0 04 Aug 2017
Going Deeper with Contextual CNN for Hyperspectral Image Classification Hyungtae Lee H. Kwon 43 794 0 12 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 94 1,641 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 351 13,134 0 12 Mar 2015
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 265 14,704 0 20 Jun 2014