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

18 July 2024

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

7 / 7 papers shown

Title
Quilt-1M: One Million Image-Text Pairs for Histopathology Wisdom O. Ikezogwo M. S. Seyfioglu Fatemeh Ghezloo Dylan Stefan Chan Geva Fatwir Sheikh Mohammed Pavan Kumar Anand Ranjay Krishna Linda G. Shapiro CLIP VLM 223 122 0 20 Jun 2023
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 128 500 0 13 Apr 2022
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 223 2,321 0 04 Mar 2021
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 671 28,659 0 26 Feb 2021
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 149 4,051 0 17 Jun 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 421 3,397 0 09 Mar 2020
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 104 465 0 25 Nov 2019