ELF: Embedded Localisation of Features in pre-trained CNN

7 July 2019

Papers citing "ELF: Embedded Localisation of Features in pre-trained CNN"

22 / 22 papers shown

Title
LF-Net: Learning Local Features from Images Y. Ono Eduard Trulls Pascal Fua K. M. Yi 68 527 0 24 May 2018
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis Hajime Taira Masatoshi Okutomi Torsten Sattler Mircea Cimpoi Marc Pollefeys Josef Sivic Tomas Pajdla Akihiko Torii 3DV 39 35 0 28 Mar 2018
SuperPoint: Self-Supervised Interest Point Detection and Description Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC 120 2,443 0 20 Dec 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 199 2,221 0 12 Jun 2017
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors Vassileios Balntas Karel Lenc Andrea Vedaldi K. Mikolajczyk 95 719 0 19 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 175 5,968 0 04 Mar 2017
Large-Scale Image Retrieval with Attentive Deep Local Features Hyeonwoo Noh A. Araújo Jack Sim Tobias Weyand Bohyung Han 3DV 110 769 0 19 Dec 2016
Quad-networks: unsupervised learning to rank for interest point detection Nikolay Savinov Akihito Seki Lubor Ladicky Torsten Sattler Marc Pollefeys 3DPC 50 173 0 22 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 254 19,929 0 07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.2K 14,543 0 07 Oct 2016
Universal Correspondence Network Chris Choy JunYoung Gwak Silvio Savarese Manmohan Chandraker 53 369 0 11 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 407 18,334 0 27 May 2016
LIFT: Learned Invariant Feature Transform K. M. Yi Eduard Trulls Vincent Lepetit Pascal Fua 105 45 0 30 Mar 2016
Learning to Compare Image Patches via Convolutional Neural Networks Sergey Zagoruyko N. Komodakis SSL 81 1,436 0 14 Apr 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 224 4,665 0 21 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 107 1,963 0 26 Nov 2014
TILDE: A Temporally Invariant Learned DEtector Yannick Verdié K. M. Yi Pascal Fua Vincent Lepetit 40 315 0 17 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT Philipp Fischer Alexey Dosovitskiy Thomas Brox 78 275 0 22 May 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 371 43,524 0 01 May 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 283 7,279 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 486 15,861 0 12 Nov 2013