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Modelling Local Deep Convolutional Neural Network Features to Improve
  Fine-Grained Image Classification

Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification

27 February 2015
Zongyuan Ge
Chris McCool
Conrad Sanderson
Peter Corke
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Papers citing "Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification"

5 / 5 papers shown
Title
Fruit classification using deep feature maps in the presence of
  deceptive similar classes
Fruit classification using deep feature maps in the presence of deceptive similar classes
Mohit Dandekar
Narinder Singh Punn
S. K. Sonbhadra
Sonali Agarwal
18
6
0
12 Jul 2020
Deep Residual Mixture Models
Deep Residual Mixture Models
Perttu Hämäläinen
Martin Trapp
Tuure Saloheimo
Arno Solin
36
8
0
22 Jun 2020
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
Chest X-rays Classification: A Multi-Label and Fine-Grained Problem
Z. Ge
Dwarikanath Mahapatra
S. Sedai
R. Garnavi
R. Chakravorty
25
50
0
19 Jul 2018
Exploiting Temporal Information for DCNN-based Fine-Grained Object
  Classification
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification
Zongyuan Ge
Chris McCool
Conrad Sanderson
Peng Wang
Lingqiao Liu
Ian Reid
Peter Corke
30
17
0
01 Aug 2016
Fine-Grained Classification via Mixture of Deep Convolutional Neural
  Networks
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks
Zongyuan Ge
Alex Bewley
Chris McCool
B. Upcroft
Peter Corke
Conrad Sanderson
15
51
0
30 Nov 2015
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