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?"

6 / 6 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 125 109 0 20 Jun 2023
Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology Yunlong Zhang Yuxuan Sun Honglin Li S. Zheng Chenglu Zhu L. Yang OOD 54 26 0 30 Jun 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 178 256 0 10 Nov 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 324 0 01 Oct 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016