[HTML][HTML] Explainability and evaluation of vision transformers: An in-depth experimental study
In the era of artificial intelligence (AI), the deployment of intelligent systems for autonomous
decision making has surged across diverse fields. However, the widespread adoption of AI …
decision making has surged across diverse fields. However, the widespread adoption of AI …
A dataset generation framework for evaluating megapixel image classifiers and their explanations
Deep learning-based megapixel image classifiers have exceptional prediction performance
in a number of domains, including clinical pathology. However, extracting reliable, human …
in a number of domains, including clinical pathology. However, extracting reliable, human …
[КНИГА][B] Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XX
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed
proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel …
proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel …
[HTML][HTML] Advancements in End-to-End Audio Style Transformation: A Differentiable Approach for Voice Conversion and Musical Style Transfer
S Aggarwal, S Uttam, S Garg, S Garg, K Jain… - AI, 2025 - mdpi.com
Introduction: This study introduces a fully differentiable, end-to-end audio transformation
network designed to overcome these limitations by operating directly on acoustic features …
network designed to overcome these limitations by operating directly on acoustic features …
Going Beyond Salience: Deep Learning for the Discovery of Meaningful Pathomic Markers
GB Machiraju - 2024 - search.proquest.com
Deep learning methods have demonstrated impressive performance in using histopathology
data for both diagnosis and prognosis, sometimes even achieving AUROCs nearly 1.0 …
data for both diagnosis and prognosis, sometimes even achieving AUROCs nearly 1.0 …