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Are We Ready for Out-of-Distribution Detection in Digital Pathology?

Are We Ready for Out-of-Distribution Detection in Digital Pathology?

18 July 2024
Ji-Hun Oh
Kianoush Falahkheirkhah
Rohit Bhargava
    OODD
ArXivPDFHTML

Papers citing "Are We Ready for Out-of-Distribution Detection in Digital Pathology?"

5 / 5 papers shown
Title
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
117
500
0
13 Apr 2022
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
191
2,321
0
04 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
548
28,659
0
26 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
408
3,397
0
09 Mar 2020
Scaling Out-of-Distribution Detection for Real-World Settings
Scaling Out-of-Distribution Detection for Real-World Settings
Dan Hendrycks
Steven Basart
Mantas Mazeika
Andy Zou
Joe Kwon
Mohammadreza Mostajabi
Jacob Steinhardt
D. Song
OODD
93
465
0
25 Nov 2019
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