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A comparison of dense region detectors for image search and fine-grained
  classification

A comparison of dense region detectors for image search and fine-grained classification

29 October 2014
Ahmet Iscen
Giorgos Tolias
P. Gosselin
Hervé Jégou
ArXivPDFHTML

Papers citing "A comparison of dense region detectors for image search and fine-grained classification"

5 / 5 papers shown
Title
A Principled Design of Image Representation: Towards Forensic Tasks
A Principled Design of Image Representation: Towards Forensic Tasks
Shuren Qi
Yushu Zhang
Chao Wang
Jiantao Zhou
Xiaochun Cao
18
17
0
02 Mar 2022
Learning and aggregating deep local descriptors for instance-level
  recognition
Learning and aggregating deep local descriptors for instance-level recognition
Giorgos Tolias
Tomás Jenícek
Ondvrej Chum
FedML
178
100
0
26 Jul 2020
Analysis of feature detector and descriptor combinations with a
  localization experiment for various performance metrics
Analysis of feature detector and descriptor combinations with a localization experiment for various performance metrics
Ertugrul Bayraktar
P. Boyraz
11
39
0
17 Oct 2017
Object-Part Attention Model for Fine-grained Image Classification
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng
Xiangteng He
Junjie Zhao
OCL
VLM
52
338
0
06 Apr 2017
A Practical Guide to CNNs and Fisher Vectors for Image Instance
  Retrieval
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval
V. Chandrasekhar
Jie Lin
Olivier Morère
Hanlin Goh
A. Veillard
29
85
0
11 Aug 2015
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