IJCAI

Beyond Feature Mapping GAP: Integrating Real HDRTV Priors for Superior SDRTV-to-HDRTV Conversion

超越特征映射GAP：整合真实HDRTV先验以实现更优SDRTV到HDRTV转换

Gang He, Kepeng Xu, Li Xu, Siqi Wang, Wenxin Yu, Xianyun Wu

机构 * Xidian University（西电大学） ； Southwest University of Science and Technology（西南科技大学） 纠错

AI总结 本文提出基于真实HDRTV先验的SDRTV到HDRTV转换方法，通过两阶段模型提升转换精度和可靠性。

Comments accepted by IJCAI 2025

Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers

利用类别分离距离评估机器学习分类器的鲁棒性

Georg Siedel, Silvia Vock, Andrey Morozov, Stefan Voß

机构 * Federal Institute for Occupational Safety and Health (BAuA) Germany（德国职业安全与健康联邦研究所） ； University of Stuttgart, Germany（斯图加特大学） 纠错

AI总结 本文提出利用类别分离距离评估分类器的破坏鲁棒性，通过数据增强方法改进鲁棒性并提升准确率。

Comments Accepted for the IJCAI-ECAI-22 Workshop on Artificial Intelligence Safety (AISafety 2022) We made an important correction in the abstract compared to the published version, changing "mean corruption corruption robustness" to "minimal separation corruption robustness" which is the correct name of our proposed metric