Titlebook: Quality, Reliability, Security and Robustness in Heterogeneous Systems; 19th EAI Internation Victor C.M. Leung,Hezhang Li,Zhaolong Ning Con

LATHE

Yazhen Zhu,Jian Chen,Yuwei Sun,Wei Wangbeled all text-line images for the HHD-Ethiopic dataset, and an expert supervisor double-checked them. We assessed human-level recognition performance and compared it with state-of-the-art (SOTA) OCR models using the Character Error Rate (CER) and Normalized Edit Distance (NED) metrics. Our results

outskirts

ineluctable

chemical-peel

出生

Sheng Liu,Shuxiao Chang,Ting Cao,Xinyue Liements and then ablating these elements to assign feature importance. We extensively evaluate our proposed approach in the context of document image classification, utilizing 4 different evaluation metrics, 2 widely recognized document benchmark datasets, and 10 state-of-the-art document image class

青春期

Glutinous

親愛

Thyroid-Gland

Zi-Sheng Zhou,Ming Cai,Zhuo-Lin Deng,Chen Xiongn and recognition using the same backbone, with the detection branch based on multiple deep layers and the recognition branch based on multiple shallow layers, thereby constructing an end-to-end detection and recognition network. Comparative experiments on CCPD and RodoSol datasets validate that our