LIFT: Learned Invariant Feature Transform

30 March 2016

Papers citing "LIFT: Learned Invariant Feature Transform"

7 / 457 papers shown

Title
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 48 670 0 07 Sep 2016
SIFT Meets CNN: A Decade Survey of Instance Retrieval Liang Zheng Yi Yang Q. Tian 36 694 0 05 Aug 2016
Local Feature Detectors, Descriptors, and Image Representations: A Survey Yusuke Uchida 34 13 0 28 Jul 2016
Universal Correspondence Network Chris Choy JunYoung Gwak Silvio Savarese Manmohan Chandraker 15 367 0 11 Jun 2016
Learning Local Descriptors by Optimizing the Keypoint-Correspondence Criterion: Applications to Face Matching, Learning from Unlabeled Videos and 3D-Shape Retrieval Nenad Markuš Igor S. Pandzic Jörgen Ahlberg 3DV 32 4 0 30 Mar 2016
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions Andy Zeng Shuran Song Matthias Nießner Matthew Fisher Jianxiong Xiao Thomas Funkhouser 3DV 3DPC 34 978 0 27 Mar 2016
NetVLAD: CNN architecture for weakly supervised place recognition Relja Arandjelović Petr Gronát Akihiko Torii Tomas Pajdla Josef Sivic 3DV SSL 82 2,611 0 23 Nov 2015