Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work

28 February 2017

Papers citing "Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work"

4 / 4 papers shown

Title
A deep representation for depth images from synthetic data Fabio Maria Carlucci P. Russo Barbara Caputo MDE 3DV 23 34 0 30 Sep 2016
The STRANDS Project: Long-Term Autonomy in Everyday Environments Nick Hawes Christopher Burbridge Ferdian Jovan Lars Kunze Bruno Lacerda ... Jaime Pulido Fentanes T. Krajník J. M. Santos T. Duckett Marc Hanheide 41 216 0 15 Apr 2016
Learning Rich Features from RGB-D Images for Object Detection and Segmentation Saurabh Gupta Ross B. Girshick Pablo Arbeláez Jitendra Malik ObjD 83 1,560 0 22 Jul 2014
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 174 14,703 0 20 Jun 2014