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Towards Open Set Deep Networks

Towards Open Set Deep Networks

19 November 2015
Abhijit Bendale
Terrance Boult
    BDL
    EDL
ArXivPDFHTML

Papers citing "Towards Open Set Deep Networks"

19 / 269 papers shown
Title
Surveillance Face Recognition Challenge
Surveillance Face Recognition Challenge
Zhiyi Cheng
Xiatian Zhu
S. Gong
CVBM
AAML
27
68
0
25 Apr 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
17
522
0
18 Apr 2018
Zero-Shot Object Detection
Zero-Shot Object Detection
Ankan Bansal
Karan Sikka
Gaurav Sharma
Rama Chellappa
Ajay Divakaran
VLM
ObjD
46
359
0
12 Apr 2018
Hierarchical Novelty Detection for Visual Object Recognition
Hierarchical Novelty Detection for Visual Object Recognition
Kibok Lee
Kimin Lee
Kyle Min
Y. Zhang
Jinwoo Shin
Honglak Lee
BDL
52
67
0
02 Apr 2018
Unseen Class Discovery in Open-world Classification
Unseen Class Discovery in Open-world Classification
Lei Shu
Hu Xu
Bing-Quan Liu
24
70
0
17 Jan 2018
Learning Deep Features for One-Class Classification
Learning Deep Features for One-Class Classification
Pramuditha Perera
Vishal M. Patel
27
368
0
16 Jan 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
40
1,391
0
08 Dec 2017
Memory Based Online Learning of Deep Representations from Video Streams
Memory Based Online Learning of Deep Representations from Video Streams
F. Pernici
F. Bartoli
Matteo Bruni
A. Bimbo
CVBM
41
29
0
17 Nov 2017
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dropout Sampling for Robust Object Detection in Open-Set Conditions
Dimity Miller
Lachlan Nicholson
Feras Dayoub
Niko Sünderhauf
BDL
UQCV
39
233
0
18 Oct 2017
Do Convolutional Neural Networks Learn Class Hierarchy?
Do Convolutional Neural Networks Learn Class Hierarchy?
B. Alsallakh
Amin Jourabloo
Mao Ye
Xiaoming Liu
Liu Ren
42
210
0
17 Oct 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
UQCV
33
1,118
0
06 Sep 2017
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the
  iCub Humanoid
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid
Marco Melis
Ambra Demontis
Battista Biggio
Gavin Brown
Giorgio Fumera
Fabio Roli
AAML
21
98
0
23 Aug 2017
Toward Open-Set Face Recognition
Toward Open-Set Face Recognition
Manuel Günther
Steve Cruz
Ethan M. Rudd
Terrance E. Boult
CVBM
35
78
0
03 May 2017
On the (Statistical) Detection of Adversarial Examples
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse
Praveen Manoharan
Nicolas Papernot
Michael Backes
Patrick McDaniel
AAML
39
709
0
21 Feb 2017
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep
  Learning and Geometric Modeling
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos
S. Gehrig
Peter Pinggera
Uwe Franke
Carsten Rother
25
174
0
20 Dec 2016
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual
  Recognition
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition
Brandon RichardWebster
Samuel E. Anthony
Walter J. Scheirer
21
72
0
19 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
Open-Set Support Vector Machines
Open-Set Support Vector Machines
Pedro Ribeiro Mendes Júnior
Terrance E. Boult
Jacques Wainer
Anderson de Rezende Rocha
VLM
23
18
0
13 Jun 2016
Analysis of classifiers' robustness to adversarial perturbations
Analysis of classifiers' robustness to adversarial perturbations
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
37
361
0
09 Feb 2015
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