Aug 10, 2020 · We propose a feature-enhanced single-shot detector (FE-SSD). The proposed method inherits a prior detection module of RON and a feature transfer block of FB- ...
Ye et al introduced the feature-enhanced singleshot detector (FE-SSD) for railway traffic, significantly improving feature discrimination and robustness [47] .
Aug 19, 2020 · In this study, we focused on designing a railway object detection algorithm. We adopt a structure similar to that of the single-shot detector ( ...
An automatic object detection system based on convolutional neural network (CNN) is proposed to detect objects ahead in shunting mode.
Missing: Autonomous | Show results with:Autonomous
To detect these objects in railways, we proposed an object-detection method using a differential feature fusion convolutional neural network (DFF-Net).
Jun 1, 2018 · The experimental results on the railway traffic dataset show that FR-Net achieves 0.8953 mAP with 72.3 FPS performance on a machine with a ...
Jun 8, 2022 · This paper aims to address small object detection in aerial imagery by offering a Convolutional Neural Network (CNN) model that utilizes the Single Shot multi- ...
Aug 30, 2022 · This paper proposes a face detection algorithm based on single shot detector and active learning in rail transit surveillance, effectively detecting faces and ...
Feb 29, 2024 · YOLO [4] is a single-stage object detector which takes a simplified approach by dividing the image into a grid and predicting a fixed number of ...
Missing: Railway | Show results with:Railway
A RTP object detection method combining dynamic convolution and feature enhancement was proposed. The Fully Convolutional One-Stage (FCOS) object detection ...