IEEE

Buried Object Detection from B-Scan Ground Penetrating Radar Data Using Faster-RCNN

In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the lack of real ...
GitHub

Detectron2 implementation of Domain Adaptive Faster-RCNN

This is the implementation of CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'. The aim is to improve the cross-domain robustness of object detection, in the screnario ...
Scientific Research Publishing

Detection of Water Meter Digits Based on Improved Faster R-CNN ()

In order to more accurately detect the accuracy of word-wheel water meter digits, 2000 water meter pictures were produced, and an improved Faster-RCNN algorithm for detecting water meter digits was ...
Scientific Research Publishing

YOLObin: Non-Decomposable Garbage Identification and Classification Based on YOLOv7 ()

In order to safeguard the biological framework on which human creatures depend for presence and make society feasible improvement, it is becoming increasingly important to classify garbage. In any ...
IEEE

Buried Object Detection from B-Scan Ground Penetrating Radar Data Using Faster-RCNN

Abstract: In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the ...
Frontiers

Faster R-CNN for Robust Pedestrian Detection Using Semantic Segmentation Network

Convolutional neural networks (CNN) have enabled significant improvements in pedestrian detection owing to the strong representation ability of the CNN features. However, it is generally difficult to ...
GitHub

endernewton/tf-faster-rcnn

A Tensorflow implementation of faster RCNN detection framework by Xinlei Chen ([email protected]). This repository is based on the python Caffe implementation of faster RCNN available here. Note: You ...