An evaluation of retinanet on indoor object detection for blind and visually impaired persons assistance navigation

M Afif, R Ayachi, Y Said, E Pissaloux, M Atri - Neural Processing Letters, 2020 - Springer
Indoor object detection presents a computer vision task that deals with the detection of
specific indoor classes. This task attracts a lot of attention, especially in the last few years …

A comprehensive review on deep supervision: Theories and applications

R Li, X Wang, G Huang, W Yang, K Zhang, X Gu… - arxiv preprint arxiv …, 2022 - arxiv.org
Deep supervision, or known as' intermediate supervision'or'auxiliary supervision', is to add
supervision at hidden layers of a neural network. This technique has been increasingly …

Object detection and tracking with UAV data using deep learning

AA Micheal, K Vani, S Sanjeevi, CH Lin - Journal of the Indian Society of …, 2021 - Springer
UAVs have been deployed in various object tracking applications such as disaster
management, traffic monitoring, wildlife monitoring and crowd management. Recently …

An efficient object detection system for indoor assistance navigation using deep learning techniques

M Afif, R Ayachi, Y Said, E Pissaloux, M Atri - Multimedia Tools and …, 2022 - Springer
Building new systems used for indoor objects detection and indoor assistance navigation
presents a very crucial task especially in artificial intelligence and computer science fields …

Indoor object c1assification for autonomous navigation assistance based on deep CNN model

M Aftf, R Ayachi, Y Said, E Pissaloux… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Indoor object classification is a key element for indoor navigation assistance systems. Indoor
objects knowledge helps Visually Impaired People (VIP) in their indoor navigation and …

[PDF][PDF] Blood Cells Classification Using Deep Learning with customized data augmentation and EK-means segmentation

A Heni, I Jdey, H Ltifi - J. Theor. Appl. Inf. Technol, 2023 - researchgate.net
White blood cells, also known as leukocytes, play an important role in the human body. By
increasing immunity for fighting infectious diseases. The classification of white blood cells …

EasyDAM_V3: automatic fruit labeling based on optimal source domain selection and data synthesis via a knowledge graph

W Zhang, Y Liu, C Zheng, G Cui, W Guo - Plant Phenomics, 2023 - spj.science.org
Although deep learning-based fruit detection techniques are becoming popular, they require
a large number of labeled datasets to support model training. Moreover, the manual labeling …

Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing

C Liang, J Liang, W Yang, W Ge, J Zhao, Z Li, S Bai… - Precision …, 2025 - Springer
Rapid and accurate detection of fruits is crucial for estimating yields and making scientific
decisions in litchi orchards. However, litchis grow in complex natural environments …

Detection method of organic light-emitting diodes based on small sample deep learning

H Qiu, J Huang, YC Feng, P Rong - Plos one, 2024 - journals.plos.org
In order to solve the surface detection problems of low accuracy, low precision and inability
to automate in the production process of late-model display panels, a little sample-based …

Obstacle detection and walkable path detection

V Jabade, U Nahata, N Jain, A Pandey… - 2022 IEEE Delhi …, 2022 - ieeexplore.ieee.org
Object detection is a computer vision technique which enables to locate and identify the
labelled objects in an image or video. This kind of identification and localization through …