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Open-set Recognition via Augmentation-based Similarity Learning
v1v2v3 (latest)

Open-set Recognition via Augmentation-based Similarity Learning

24 March 2022
Sepideh Esmaeilpour
Lei Shu
Bin Liu
ArXiv (abs)PDFHTML

Papers citing "Open-set Recognition via Augmentation-based Similarity Learning"

16 / 16 papers shown
Title
Adversarial Reciprocal Points Learning for Open Set Recognition
Adversarial Reciprocal Points Learning for Open Set Recognition
Guangyao Chen
Peixi Peng
Xiangqian Wang
Yonghong Tian
114
293
0
01 Mar 2021
Contrastive Training for Improved Out-of-Distribution Detection
Contrastive Training for Improved Out-of-Distribution Detection
Jim Winkens
Rudy Bunel
Abhijit Guha Roy
Robert Stanforth
Vivek Natarajan
...
Alan Karthikesalingam
Simon A. A. Kohl
taylan. cemgil
S. M. Ali Eslami
Olaf Ronneberger
OODD
132
241
0
10 Jul 2020
Classification-Based Anomaly Detection for General Data
Classification-Based Anomaly Detection for General Data
Liron Bergman
Yedid Hoshen
49
351
0
05 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
151
4,547
0
23 Apr 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning
  from Out-of-distribution Data
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
Yen-Chang Hsu
Yilin Shen
Hongxia Jin
Z. Kira
OODD
98
573
0
26 Feb 2020
Automatically Discovering and Learning New Visual Categories with
  Ranking Statistics
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
54
183
0
13 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
372
18,778
0
13 Feb 2020
Using Self-Supervised Learning Can Improve Model Robustness and
  Uncertainty
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
Basel Alomair
OODSSL
56
945
0
28 Jun 2019
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
Poojan Oza
Vishal M. Patel
117
322
0
02 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent
  Representations
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Pramuditha Perera
Ramesh Nallapati
Bing Xiang
118
526
0
20 Mar 2019
Multi-class Classification without Multi-class Labels
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
85
168
0
02 Jan 2019
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
258
3,290
0
21 Mar 2018
DOC: Deep Open Classification of Text Documents
DOC: Deep Open Classification of Text Documents
Lei Shu
Hu Xu
Bing-Quan Liu
VLM
45
302
0
25 Sep 2017
Generative OpenMax for Multi-Class Open Set Classification
Generative OpenMax for Multi-Class Open Set Classification
Zongyuan Ge
S. Demyanov
Zetao Chen
R. Garnavi
VLM
62
384
0
24 Jul 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCVOODD
168
2,072
0
08 Jun 2017
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDLEDL
104
1,427
0
19 Nov 2015
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