ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.05003
  4. Cited By
Effective Multi-Query Expansions: Collaborative Deep Networks for Robust
  Landmark Retrieval

Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval

18 January 2017
Veronika Cheplygina
Xuemin Lin
D. Lynch
Weinan Zhang
ArXiv (abs)PDFHTML

Papers citing "Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval"

12 / 12 papers shown
Title
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and
  Fusion
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
Yang Wang
118
201
0
15 Jun 2020
Robust Hashing for Multi-View Data: Jointly Learning Low-Rank Kernelized
  Similarity Consensus and Hash Functions
Robust Hashing for Multi-View Data: Jointly Learning Low-Rank Kernelized Similarity Consensus and Hash Functions
Lin Wu
Yang Wang
127
45
0
17 Nov 2016
Iterative Views Agreement: An Iterative Low-Rank based Structured
  Optimization Method to Multi-View Spectral Clustering
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering
Yang Wang
Weinan Zhang
Lin Wu
Xuemin Lin
Meng Fang
Shirui Pan
73
231
0
19 Aug 2016
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene
  Classification
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification
Ruobing Wu
Baoyuan Wang
Wenping Wang
Yizhou Yu
73
125
0
06 Oct 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,637
0
01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
298
14,717
0
20 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
226
3,420
0
14 May 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
124
1,502
0
14 Apr 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
607
15,907
0
12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
301
26,247
0
11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLMObjD
195
4,954
0
06 Oct 2013
Deep Learning using Linear Support Vector Machines
Deep Learning using Linear Support Vector Machines
Yichuan Tang
103
894
0
02 Jun 2013
1