Discover the 6 best AI detectors in 2025! Compare accuracy, features, and reliability to find the top tool for detecting ...

Annotation automation fails in safety-critical edge cases where human judgment is the only reliable signal While autonomous vehicle programs have matured through standardized sensor configurations and ...

Explore the new agentic loop pipeline using Gemma 4 and Falcon Perception for highly accurate, locally hosted image ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

Why latency guarantees, memory movement, power budgets, and rapid model deployment now matter more than raw TOPS.

The rapid advancement of unmanned aerial vehicles (UAVs) in disaster response and environmental monitoring has underscored the growing importance of real-time object detection within UAV swarm ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

This repository presents a complete end-to-end object detection pipeline trained entirely from scratch (without using any pretrained weights), developed as part of a Computer Vision Engineer ...

Abstract: Salient Object Detection in optical remote sensing images (ORSI-SOD) has received increasing attention in recent years. Although some progress has been made in existing methods, there are ...

Abstract: Due to the limited training samples in few-shot object detection (FSOD), we observe that current methods may struggle to accurately extract effective features from each channel. Specifically ...