[HTML][HTML] Explainable Artificial Intelligence for Image Segmentation and for Estimation of Optical Aberrations
K Vinogradova - 2023 - tud.qucosa.de
Abstract (EN) State-of-the-art machine learning methods such as convolutional neural
networks (CNNs) are frequently employed in computer vision. Despite their high …
networks (CNNs) are frequently employed in computer vision. Despite their high …
A Guided Tour of Post-hoc XAI Techniques in Image Segmentation
Deep learning models have shown tremendous gains in computer vision in the last decade.
However, given their highly non-linear nature, they are often seen as black-boxes. This has …
However, given their highly non-linear nature, they are often seen as black-boxes. This has …
Interactive visualization and representation analysis applied to glacier segmentation
Interpretability has attracted increasing attention in earth observation problems. We apply
interactive visualization and representation analysis to guide the interpretation of glacier …
interactive visualization and representation analysis to guide the interpretation of glacier …
Visual Explanations of High-dimensional and Temporal Processes/eingereicht von DI Andreas Hinterreiter
A Hinterreiter - 2022 - epub.jku.at
Visualization and machine learning research are both driven by a desire to extract insights
from data. However, the means to this end differ substantially between the two fields. While …
from data. However, the means to this end differ substantially between the two fields. While …
[引用][C] Post-hoc XAI in Medical Image Segmentation: The Journey Thus Far
SN Hasany, F Mériaudeau, C Petitjean - 2024