2 papers
cs.CV2024
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style Transfer
Dongqi Fan, Xin Zhao, Liang Chang
Recently, the contrastive learning paradigm has achieved remarkable success in high-level tasks such as classification, detection, and segmentation. However, contrastive learning a…
cs.AI2014
Algorithm for Adapting Cases Represented in a Tractable Description Logic
Liang Chang, Uli Sattler, Tianlong Gu
Case-based reasoning (CBR) based on description logics (DLs) has gained a lot of attention lately. Adaptation is a basic task in the CBR inference that can be modeled as the knowle…