An evaluation of retinanet on indoor object detection for blind and visually impaired persons assistance navigation
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 …
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
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 …
supervision at hidden layers of a neural network. This technique has been increasingly …
Object detection and tracking with UAV data using deep learning
UAVs have been deployed in various object tracking applications such as disaster
management, traffic monitoring, wildlife monitoring and crowd management. Recently …
management, traffic monitoring, wildlife monitoring and crowd management. Recently …
An efficient object detection system for indoor assistance navigation using deep learning techniques
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
labelled objects in an image or video. This kind of identification and localization through …