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MMF: A loss extension for feature learning in open set recognition
v1v2 (latest)

MMF: A loss extension for feature learning in open set recognition

26 June 2020
Jingyun Jia
P. Chan
ArXiv (abs)PDFHTML

Papers citing "MMF: A loss extension for feature learning in open set recognition"

7 / 7 papers shown
Title
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,483
0
11 Dec 2018
Reducing Network Agnostophobia
Reducing Network Agnostophobia
A. Dhamija
Manuel Günther
Terrance E. Boult
AAMLUQCV
73
302
0
09 Nov 2018
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Stanislav Pidhorskyi
Ranya Almohsen
Donald Adjeroh
Gianfranco Doretto
UQCV
45
322
0
06 Jul 2018
Open Set Domain Adaptation by Backpropagation
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VLM
77
508
0
27 Apr 2018
Training Confidence-calibrated Classifiers for Detecting
  Out-of-Distribution Samples
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee
Honglak Lee
Kibok Lee
Jinwoo Shin
OODD
118
882
0
26 Nov 2017
Open-Category Classification by Adversarial Sample Generation
Open-Category Classification by Adversarial Sample Generation
Yang Yu
Wei-Yang Qu
Nan Li
Zimin Guo
VLMGAN
57
82
0
24 May 2017
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
379
13,145
0
12 Mar 2015
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