Titlebook: Analysis of Images, Social Networks and Texts; 11th International C Dmitry I. Ignatov,Michael Khachay,Sergey Zagoruyko Conference proceedin

裂縫

DeepLOC: Deep Learning-Based Bone Pathology Localization and?Classification in?Wrist X-Ray Imagessis. This paper presents a novel approach for bone pathology localization and classification in wrist X-ray images using a combination of YOLO (You Only Look Once) and the Shifted Window Transformer (Swin) with a newly proposed block. The proposed methodology addresses two critical challenges in wri

反抗者

MiVOLO: Multi-input Transformer for?Age and?Gender Estimationality, there are cases where the face is partially or completely occluded. We present MiVOLO (Multi Input VOLO), a straightforward approach for age and gender estimation using the latest vision transformer. Our method integrates both tasks into a unified dual input/output model, leveraging not only

CLAMP

Handwritten Text Recognition and?Browsing in?Archive of?Prisoners’ Letters from?Smolensk Convict Prin of the early 20th century) recorded in a single handwriting, is considered. To fit a model for handwritten text recognition, procedures were created for automatic preparation of image collections, including breaking into lines, pen trace segmentation, and deslanting of lines and pages. Experiments

沖突

Takashi Inoguchi,Lien Thi Quynh Letes unrest and harms to the society. Literature describes several forms of the hate speech and it is quite challenging to differentiate between these forms and to design an automated detection system, especially for under-resource languages. In this study, we propose a robust framework for threateni