Object detection in real time based on improved single shot multi-box detector algorithm

A Kumar, ZJ Zhang, H Lyu - EURASIP Journal on Wireless …, 2020 - Springer
In today's scenario, the fastest algorithm which uses a single layer of convolutional network
to detect the objects from the image is single shot multi-box detector (SSD) algorithm. This …

Object detection system based on convolution neural networks using single shot multi-box detector

A Kumar, S Srivastava - Procedia Computer Science, 2020 - Elsevier
In this paper we propose object detection technique to detect objects in real time on any
device running the model and in any environment. Object detection and training is a vast …

An object detection technique for blind people in real-time using deep neural network

A Kumar, SSSS Reddy… - 2019 Fifth International …, 2019 - ieeexplore.ieee.org
This paper proposed an object detection technique for blind people in real time to detect
objects on any device running this model. We use convolutional neural network along with …

Real time multiple-object detection based on enhanced SSD

T Jaiswal, M Pandey, P Tripathi - 2022 Second International …, 2022 - ieeexplore.ieee.org
Object detection and recognition are widely employed in a variety of computer vision
applications, and numerous techniques have been suggested in the literature. Object …

[PDF][PDF] DATA AGGREGATION BASED HYBRID DEEP LEARNING TECHNIQUE FOR IDENTIFYING THE UNCERTAINTIES AND ACCURATE OBJECT DETECTION

S Patibandla, DM Archana… - Indian Journal of …, 2022 - researchgate.net
The deep learning concept for performing object detection plans to minimize the labeling
cost by identifying the samples which increase the detection into the unlabeled pool …