Abstract: 3D instance segmentation is a pivotal yet demanding problem in scene understanding and perception. Existing approaches still fall short of fully exploiting geometric and semantic cues, and ...

Automatic control systems, embedded systems, cyber-physical systems, real-time systems, reactive systems: All of these refer to computer systems that interact continuously with their environment, ...

Abstract: State-of-the-art (SOTA) methods for cell instance segmentation are based on deep learning (DL) semantic segmentation approaches, focusing on distinguishing foreground pixels from background ...

This repository contains the implementation for panoptic neural scene reconstruction, supporting both geometric reconstruction and semantic/instance segmentation in 3D scenes using neural fields. Our ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...

ABSTRACT: To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed.

While OPC UA today is mostly recognized for its communication virtues (regarding scalability, security, perfomance, platform-independence), one of it’s most exciting features remains in the ...

This repository is the official PyTorch implementation of the NeurIPS 2025 paper: No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models, authored by Fan Li, ...