Abstract: Two-stage detectors are widely used in oriented object detection and have achieved high detection accuracy. However, some inconsistency issues in two-stage detectors limit their further ...

This repository mainly contains scripts to apply ensemble approach using delta-MVLN to SS3 stock assessment models. Ph.D. thesis of Francesco Masnadi ...

Methods: In this study, we propose a stacking ensemble learning model for non-destructive moisture prediction, leveraging image-based analysis of naturally suspended cigar leaves. In this study, front ...

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 ...

Roboflow has launched RF-DETR, a real-time object detection model tailored for embedded systems ... split large images—like charts, tables, or diagrams—into tiles for more efficient feature ...

This paper presents a depression detection network (DDNet), a novel approach utilizing a three-stage stacked ensemble model to address this challenge. The proposed model incorporates two different ...