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CNN features are also great at unsupervised classification
v1v2 (latest)

CNN features are also great at unsupervised classification

6 July 2017
Joris Guérin
O. Gibaru
Stéphane Thiery
E. Nyiri
    OODSSL
ArXiv (abs)PDFHTML

Papers citing "CNN features are also great at unsupervised classification"

17 / 17 papers shown
Title
Dataset and Case Studies for Visual Near-Duplicates Detection in the
  Context of Social Media
Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media
Hana Matatov
Mor Naaman
Ofra Amir
51
5
0
14 Mar 2022
Datamodels: Predicting Predictions from Training Data
Datamodels: Predicting Predictions from Training Data
Andrew Ilyas
Sung Min Park
Logan Engstrom
Guillaume Leclerc
Aleksander Madry
TDI
135
143
0
01 Feb 2022
What Image Features Boost Housing Market Predictions?
What Image Features Boost Housing Market Predictions?
Zona Kostic
A. Jevremović
39
28
0
15 Jul 2021
Artificial Perceptual Learning: Image Categorization with Weak
  Supervision
Artificial Perceptual Learning: Image Categorization with Weak Supervision
Chengliang Tang
M. Uriarte
Helen Jin
Douglas C. Morton
Tian Zheng
27
0
0
02 Jun 2021
Combining pretrained CNN feature extractors to enhance clustering of
  complex natural images
Combining pretrained CNN feature extractors to enhance clustering of complex natural images
Joris Guérin
Stéphane Thiery
E. Nyiri
O. Gibaru
Byron Boots
122
44
0
07 Jan 2021
Objective-Based Hierarchical Clustering of Deep Embedding Vectors
Objective-Based Hierarchical Clustering of Deep Embedding Vectors
Stanislav A. Naumov
G. Yaroslavtsev
Dmitrii Avdiukhin
96
23
0
15 Dec 2020
AutoEmbedder: A semi-supervised DNN embedding system for clustering
AutoEmbedder: A semi-supervised DNN embedding system for clustering
Abu Quwsar Ohi
M. F. Mridha
Farisa Benta Safir
Md. Abdul Hamid
M. Monowar
SSL
36
40
0
11 Jul 2020
Multi-Image Summarization: Textual Summary from a Set of Cohesive Images
Multi-Image Summarization: Textual Summary from a Set of Cohesive Images
Ni Trieu
Sebastian Goodman
P. Narayana
Kazoo Sone
Radu Soricut
ViT
20
7
0
15 Jun 2020
MorphoCluster: Efficient Annotation of Plankton images by Clustering
MorphoCluster: Efficient Annotation of Plankton images by Clustering
Simon-Martin Schroder
R. Kiko
Reinhard Koch
106
46
0
04 May 2020
Collaborative Learning of Semi-Supervised Clustering and Classification
  for Labeling Uncurated Data
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data
Sara Mousavi
Dylan Lee
Tatianna Griffin
D. Steadman
A. Mockus
VLM
67
5
0
09 Mar 2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity
  Recognition and Unknown Context Discovery
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
Zepeng Huo
Arash Pakbin
Xiaohan Chen
N. Hurley
Ye Yuan
Xiaoning Qian
Zhangyang Wang
Shuai Huang
B. Mortazavi
HAI
36
11
0
03 Mar 2020
Video Face Clustering with Unknown Number of Clusters
Video Face Clustering with Unknown Number of Clusters
Makarand Tapaswi
M. Law
Sanja Fidler
CVBM
102
60
0
09 Aug 2019
Semantically Meaningful View Selection
Semantically Meaningful View Selection
Joris Guérin
O. Gibaru
E. Nyiri
Stéphane Thiery
Byron Boots
20
7
0
26 Jul 2018
Improving Image Clustering With Multiple Pretrained CNN Feature
  Extractors
Improving Image Clustering With Multiple Pretrained CNN Feature Extractors
Joris Guérin
Byron Boots
34
31
0
20 Jul 2018
Pilot Comparative Study of Different Deep Features for Palmprint
  Identification in Low-Quality Images
Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images
Ahmad S. Tarawneh
D. Chetverikov
Ahmad Hassanat
66
31
0
10 Apr 2018
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory
  Input
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input
David Harwath
Adrià Recasens
Dídac Surís
Galen Chuang
Antonio Torralba
James R. Glass
110
201
0
04 Apr 2018
Identifying Quantum Phase Transitions with Adversarial Neural Networks
Identifying Quantum Phase Transitions with Adversarial Neural Networks
Patrick Huembeli
A. Dauphin
P. Wittek
AAML
106
55
0
11 Oct 2017
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