SVM and ELM: Who Wins? Object Recognition with Deep Convolutional
Features from ImageNet

SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet

8 June 2015

Lei Zhang

Papers citing "SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet"

7 / 7 papers shown

Title
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems Lei Zhang David C. Zhang OOD 25 300 0 24 May 2015
Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not? Erjin Zhou Zhimin Cao Qi Yin CVBM 50 192 0 20 Jan 2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun ObjD 197 11,183 0 18 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 98 4,936 0 23 Mar 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 176 26,091 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 100 4,946 0 06 Oct 2013
Multi-column Deep Neural Networks for Image Classification D. Ciresan U. Meier Jürgen Schmidhuber 72 3,935 0 13 Feb 2012