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Rectifying Open-set Object Detection: A Taxonomy, Practical
  Applications, and Proper Evaluation

Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation

20 July 2022
Yusuke Hosoya
Masanori Suganuma
Takayuki Okatani
    ObjD
ArXivPDFHTML

Papers citing "Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation"

4 / 4 papers shown
Title
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du
Zhaoning Wang
Mu Cai
Yixuan Li
OODD
174
220
0
02 Feb 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?
S. Vaze
Kai Han
Andrea Vedaldi
Andrew Zisserman
BDL
161
401
0
12 Oct 2021
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDL
UQCV
133
214
0
19 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1