The 5th Explainable AI for Computer Vision (XAI4CV) Workshop
Miguel-Ángel Fernández-Torres ⋅ Jon Donnelly ⋅ Maximilian Dreyer ⋅ Marina Gavrilova ⋅ Dahye Kim ⋅ Indu Panigrahi ⋅ Sukrut Rao ⋅ Avinab Saha ⋅ Lenka Tětková ⋅ Yuhui Zhang
Abstract
Computer vision for high-stakes, real-world applications necessitates robust explanation and transparency to foster trust, accountability, and ethical deployment. Celebrating its 5th anniversary, the Explainable AI for Computer Vision (XAI4CV) workshop provides a premier forum for the entire spectrum of XAI research, from interpretable-by-design models to the challenges of multimodal foundation models. The program includes three invited talks, spotlight papers, a tutorial on concept-based explanations for the diagnosis and control of vision foundation models, and a poster session. XAI4CV accepts paper and demo submissions aimed at defining the future of trustworthy visual AI.
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