RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...
Abstract: Although great progress has been made in Camouflaged Object Detection (COD), it still faces challenges in complex real-world scenes. Existing methods are primarily designed for visible ...
Abstract: The emergence of 6G edge intelligence demands highly efficient, adaptive Machine Learning (ML) solutions that operate under severe resource constraints. In this paper, we introduce FEDCOM, a ...
Background: Accurately diagnosing central nervous system (CNS) infections remains challenging. This study aimed to evaluate the effectiveness of metagenomic next-generation sequencing (mNGS) in ...