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19932026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

Showing 2022 · cs.CVShow all

5 papers · 2 filters

cs.CV2022★ 10 cited

Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer

Liisa Petäinen, Juha P. Väyrynen, Pekka Ruusuvuori +3

Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from histopathological images of…

cs.CV2022★ 20 cited

Data Leakage and Evaluation Issues in Micro-Expression Analysis

Tuomas Varanka, Yante Li, Wei Peng +1

Micro-expressions have drawn increasing interest lately due to various potential applications. The task is, however, difficult as it incorporates many challenges from the fields of…

cs.CV2022★ 106 cited

Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast

Zhaodong Sun, Xiaobai Li

Video-based remote physiological measurement utilizes face videos to measure the blood volume change signal, which is also called remote photoplethysmography (rPPG). Supervised met…

cs.CV2022★ 469 cited

Metrics reloaded: Recommendations for image analysis validation

Lena Maier-Hein, Annika Reinke, Patrick Godau +71

Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen…

cs.CV2022★ 20 cited

Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition

Yang Liu, Xingming Zhang, Janne Kauttonen +1

High-quality annotated images are significant to deep facial expression recognition (FER) methods. However, uncertain labels, mostly existing in large-scale public datasets, often…