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Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
May 6, 2024, 4:45 a.m. | Rokas Gipi\v{s}kis, Chun-Wei Tsai, Olga Kurasova
cs.CV updates on arXiv.org arxiv.org
Abstract: Artificial Intelligence (XAI) has found numerous applications in computer vision. While image classification-based explainability techniques have garnered significant attention, their counterparts in semantic segmentation have been relatively neglected. Given the prevalent use of image segmentation, ranging from medical to industrial deployments, these techniques warrant a systematic look. In this paper, we present the first comprehensive survey on XAI in semantic image segmentation. This work focuses on techniques that were either specifically introduced for dense prediction …
abstract applications artificial artificial intelligence arxiv attention beyond classification computer computer vision cs.cv deployments explainability explainable ai found image industrial industry intelligence medical medicine segmentation semantic survey type vision while xai
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