Results 251 to 260 of about 30,584 (306)

EMAF-Net: A Lightweight Single-Stage Detector for 13-Class Object Detection in Agricultural Rural Road Scenes. [PDF]

Sensors (Basel)
Yao Z, Zhao C, Zhao Y, Liu X, Sun T, Zhang T.   +5 more
europepmc   +1 more source

Deep Learning-Based Full-Process Automatic CPAK Classification System and Its Application in the Analysis of Alignment Outcomes Before and After Knee Arthroplasty. [PDF]

Diagnostics (Basel)
Wu K, Geng X, Wang X, Chen J, Tian H.
europepmc   +1 more source

Wheat spikelet detection on RGB images using deep machine learning. [PDF]

Vavilovskii Zhurnal Genet Selektsii
Genaev MA, Busov ID, Kruchinina YV, Kova VS, Goncharov NP.   +4 more
europepmc   +1 more source

ShilpoBangla: A dataset of Bangladeshi cultural product images with alternative texts in Bangla and English. [PDF]

Data Brief
Ahmed SMN, Kaiser SN, Nur FN, Majib MS, Islam MN.   +4 more
europepmc   +1 more source

The Reality of the Semantic Gap in Image Retrieval

, 2006
Hare, Jonathon S., Enser, Peter G. B., Sandom, Christine J., Lewis, Paul H.   +3 more
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A survey on automatic image annotation

Applied Intelligence, 2020
Automatic image annotation is a crucial area in computer vision, which plays a significant role in image retrieval, image description, and so on. Along with the internet technique developing, there are numerous images posted on the web, resulting in the fact that it is a challenge to annotate images only by humans.
Xiao-Jun Zeng, Xing Chen, Wenzhong Guo   +2 more
exaly   +2 more sources

A survey and analysis on automatic image annotation

Pattern Recognition, 2018
Abstract In recent years, image annotation has attracted extensive attention due to the explosive growth of image data. With the capability of describing images at the semantic level, image annotation has many applications not only in image analysis and understanding but also in some relative disciplines, such as urban management and biomedical ...
Qimin Cheng, Peng Fu
exaly   +2 more sources

A review on automatic image annotation techniques

Pattern Recognition, 2012
Nowadays, more and more images are available. However, to find a required image for an ordinary user is a challenging task. Large amount of researches on image retrieval have been carried out in the past two decades. Traditionally, research in this area focuses on content based image retrieval.
Dengsheng Zhang, Guojun Lu
exaly   +2 more sources

Automatic Image Annotation at ImageCLEF

, 2019
Automatic image annotation is the task of automatically assigning some form of semantic label to images, such as words, phrases or sentences describing the objects, attributes, actions, and scenes depicted in the image. In this chapter, we present an overview of the various automatic image annotation tasks that were organized in conjunction with the ...
Wang, Josiah, Gilbert, Andrew, Thomee, Bart, Villegas, Mauricio   +3 more
openaire   +3 more sources