In this paper we propose a new hybrid network based on YOLO and ResNet (Yolo-resnet) for multi-object detection.

Our method integrates. ResNet into the feature extraction of the YOLOv3 framework and the detection results demonstrate that our hybrid network is efficient for ...

This paper proposes a new hybrid network based on YOLO and ResNet (Yolo-resnet) for multi-object detection that integrates ResNet into the feature ...

This study used the improved and modified YOLOv5 model by adding a deep ResNet framework with the same number of layers as the Darknet network.

The YOLO model is a target detection method that uses regression. A regression model is created from the target detection problem. When photos of skin ...

All object detection methods classify machine learning-based and deep learning. Machine learning detectors such as Scale-invariant feature transform (SIFT) ...

Sep 29, 2021 · Algoscale has successfully built its real-time object detection with YOLO. Which classifies vehicle type, license plate number, and vehicle make.

We propose a novel multi-scaled deformable convolution network model to deal with the trade-of between accuracy and speed in object detection.

This work proposes a multi-object video detection method using LuNet and deep reinforcement learning. The enhanced “you only look once” version 2 (YOLOv2) ...

This study applied an object detection algorithm, the You Only Look Once (YOLO) framework, and a classification algorithm, residual network (ResNet), to a real ...