Abstract: Given the limitations of traditional feature coding in capturing multiscale information and precise segmentation, existing deep learning-based change detection (CD) methods often suffer from ...

Abstract: We propose a polar code with CRC-aided successive cancellation list decoder to reduce complexity of SD-FEC decoder. The proposed method suppresses the error ...

In context learning (ICL) underpins recent advances in large language models (LLMs), although its role and performance in causal reasoning remains unclear. Causal reasoning demands multihop ...