GroupViT is a framework for learning semantic segmentation purely from text captions without using any mask supervision. It learns to perform bottom-up heirarchical spatial grouping of ...

The proposed VLM-based human-guided mobile robot navigation approach aims to enable humans to use natural language instructions to guide the industrial robot to perform manufacturing tasks in an ...

Abstract: Document segmentation and Translation are one of the key areas in pattern recognition and natural language processing. This paper presents details about translation in terms of a web ...

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...

This is a self-initiated portfolio project built on a publicly available Kaggle dataset containing transactional and demographic data for 2,240 retail customers. The dataset included purchasing ...

LONDON--(BUSINESS WIRE)--Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced and deployable YOLO (You Only Look Once) model to ...

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...

This is the official repository for Hi-SAM, a unified hierarchical text segmentation model. Refer to our paper for more details. Hierarchical Text Segmentation. Hi-SAM unifies text segmentation across ...

Deep convolutional neural networks have made significant strides in the field of medical image segmentation. Although existing convolutional structures enhance performance by leveraging local image ...

Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, ...