5 papers
Logographic Character Visual Pretraining via Semantic-based Contrastive Learning
Daqian Shi, Wei Cao, Xiaoyu Zheng +3
Current deep learning-based character vision studies, e.g., text recognition, character image denoising, and historical text completion, are offering new solutions for learning, ma…
AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora
Zhihan Zhou, Daqian Shi, Rui Song +3
Comprehension of ancient texts plays an important role in archaeology and understanding of Chinese history and civilization. The rapid development of large language models needs be…
InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling
Xiaolei Diao, Zhihan Zhou, Lida Shi +4
Constructing historical language models (LMs) plays a crucial role in aiding archaeological provenance studies and understanding ancient cultures. However, existing resources prese…
Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification
Daqian Shi, Xiaolei Diao, Xu Chen +1
Deep Neural Networks (DNNs) have significantly advanced the field of computer vision. To improve DNN training process, knowledge distillation methods demonstrate their effectivenes…
Ancient Script Image Recognition and Processing: A Review
Xiaolei Diao, Rite Bo, Yanling Xiao +8
Ancient scripts, e.g., Egyptian hieroglyphs, Oracle Bone Inscriptions, and Ancient Greek inscriptions, serve as vital carriers of human civilization, embedding invaluable historica…