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COOD: Combined out-of-distribution detection using multiple measures for
  anomaly & novel class detection in large-scale hierarchical classification

COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification

11 March 2024
L. E. Hogeweg
R. Gangireddy
D. Brunink
Vincent J. Kalkman
L. Cornelissen
J. W. Kamminga
    OODD
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Papers citing "COOD: Combined out-of-distribution detection using multiple measures for anomaly & novel class detection in large-scale hierarchical classification"

4 / 4 papers shown
Title
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
Erik Wallin
Fredrik Kahl
Lars Hammarstrand
OODD
47
0
0
27 Mar 2025
Open-Set Recognition of Novel Species in Biodiversity Monitoring
Yuyan Chen
Nico Lang
B. Christian Schmidt
Aditya Jain
Yves Basset
Sara Beery
Maxim Larrivée
David Rolnick
37
0
0
03 Mar 2025
Recent Advances in OOD Detection: Problems and Approaches
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
35
2
0
18 Sep 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc
  Methods
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
Paul Novello
Yannick Prudent
Joseba Dalmau
Corentin Friedrich
Y. Pequignot
OODD
16
1
0
09 Jul 2024
1