Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

This paper proposes a Novel Pillar Feature Encoder to address feature encoding challenges in Pillar-based 3D point cloud object detection, improving the detection of occluded and small objects, ...

Accurate water extraction from urban remote sensing images holds great significance in assisting the formulation of river and lake management policies and ensuring the sustainable development of urban ...

In the colab notebook, on the section 'Feature extraction' the model has three possible outputs: multimodal_feature, image_feature and text_feature. Are they the outputs of the, respectively, ...

In this letter, we propose an improved encoder–decoder method, named DBRANet, for extracting roads from remote sensing images. In the encoding phase, we present a dual-branch network module (DBNM) to ...