Results 81 to 90 of about 1,347,345 (241)

Improving object detection by enhancing the effect of localisation quality evaluation on detection confidence

IET Computer Vision
The one‐stage object detector has been widely applied in many computer vision applications due to its high detection efficiency and simple framework.
Zuyi Wang, Wei Zhao, Li Xu
doaj   +1 more source

Object Recognition in System FOTOM [PDF]

Acta Montanistica Slovaca, 2004
The recognition of points of interest leads to the detection and consequent specification of the values of Xí and Yi coordinates. The result is a data file of the coordinates. The problem domain is divided into two parts.The first part of the paper deals
Lièev Laèezar
doaj  

3D Object Recognition Based on ADAPTIVE-SCALE and SPCA-ALM in Cluttered Scenes

ITM Web of Conferences, 2017
In this paper a novel 3D object recognition method which can improve the recognition accuracy of object recognition in the cluttered scenes was proposed.
Xu Dan, Wang Xu-Zhi, Wan Wang-Gen, Li Xiang-Jie   +3 more
doaj   +1 more source

Mechanisms of object recognition: what we have learned from pigeons

Frontiers in Neural Circuits, 2014
Behavioral studies of object recognition in pigeons have been conducted for 50 years, yielding a large body of data. Recent work has been directed toward synthesizing this evidence and understanding the visual, associative, and cognitive mechanisms that ...
Fabian A Soto, Ed eWasserman
doaj   +1 more source

Feedforward Object-Vision Models Only Tolerate Small Image Variations Compared to Human

Frontiers in Computational Neuroscience, 2014
Invariant object recognition is a remarkable ability of primates' visual system that its underlying mechanism has constantly been under intense investigations.
Masoud eGhodrati, Masoud eGhodrati, Masoud eGhodrati, Amirhossein eFarzmahdi, Amirhossein eFarzmahdi, Amirhossein eFarzmahdi, Karim eRajaei, Karim eRajaei, Reza eEbrahimpour, Reza eEbrahimpour, Seyed-Mahdi eKhaligh-Razavi   +10 more
doaj   +1 more source

UPGMpp: a Software Library for Contextual Object Recognition [PDF]

, 2015
Object recognition is a cornerstone task towards the scene understanding problem. Recent works in the field boost their perfor- mance by incorporating contextual information to the traditional use of the objects’ geometry and/or appearance.
Galindo, Cipriano, Gonzalez-Jimenez, Antonio Javier, Ruiz-Sarmiento, Jose-Raul   +2 more
core  

Real World Music Object Recognition

Transactions of the International Society for Music Information Retrieval
We present solutions to two of the most pressing issues in contemporary optical music recognition (OMR). We improve recognition accuracy on low-quality, real-world (i.e.
Lukas Tuggener, Raphael Emberger, Adhiraj Ghosh, Pascal Sager, Yvan Putra Satyawan, Javier Montoya, Simon Goldschagg, Florian Seibold, Urs Gut, Philipp Ackermann, Jürgen Schmidhuber, Thilo Stadelmann   +11 more
doaj   +1 more source

An Efficient Bayesian Approach to Exploit the Context of Object-Action Interaction for Object Recognition

Sensors, 2016
This research features object recognition that exploits the context of object-action interaction to enhance the recognition performance. Since objects have specific usages, and human actions corresponding to these usages can be associated with these ...
Sungbaek Yoon, Hyunjin Park, Juneho Yi
doaj   +1 more source

A comparison of deep transfer learning backbone architecture techniques for printed text detection of different font styles from unstructured documents [PDF]

PeerJ Computer Science
Object detection methods based on deep learning have been used in a variety of sectors including banking, healthcare, e-governance, and academia. In recent years, there has been a lot of attention paid to research endeavors made towards text detection ...
Supriya Mahadevkar, Shruti Patil, Ketan Kotecha, Ajith Abraham   +3 more
doaj   +2 more sources

Scalable Object Detection, Tracking and Pattern Recognition Model Using Edge Computing [PDF]

, 2020
Dipak Pudasaini, Abdolreza Abhari
openalex   +1 more source