Results 271 to 280 of about 2,018,951 (327)

Rethinking VLMs and LLMs for image classification. [PDF]

Sci Rep
Cooper A, Kato K, Shih CH, Yamane H, Vinken K, Takemoto K, Sunagawa T, Yeh HW, Yamanaka J, Mason I, Boix X.   +10 more
europepmc   +1 more source

Tri branch attention enhanced 3DUNet for remote sensing based hyperspectral image classification. [PDF]

Sci Rep
Ashraf M, Abbas T, Iqbal S, Sayyed A, Asghar MN, Alaulamie A.   +5 more
europepmc   +1 more source

How Misclassification Severity and Timing Influence User Trust in AI Image Classification: User Perceptions of High- and Low-Stakes Contexts

Alicia Freel, Sabid Bin Habib Pias, Selma Šabanović, Apu Kapadia   +3 more
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Semantic-Aware Co-Parallel Network for Cross-Scene Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Li X, Jin C, Tang Y, Xing K, Yu X.
europepmc   +1 more source

Multimodal Data Fusion for Whole-Slide Histopathology Image Classification. [PDF]

J Healthc Inform Res
Song Y, Roy M, Zhong M, Chen L, Lin M, Zhang R.   +5 more
europepmc   +1 more source

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Image Classification Techniques

2021
The image processing task, aimed at interpreting and classifying the contents of the images, has attracted the attention of researchers since the early days of computers. With the advancement of computing system technology, image categorization has found increasingly broader applications, covering new generation disciplines such as image analysis ...
openaire   +1 more source

CELEBRITY IMAGE CLASSIFICATION

International Journal of Engineering Applied Sciences and Technology, 2022
t— Image classification is a supervised learning problem: define a set of target classes (objects to identify in images), and train a model to recognize them using labelled example photos. The main motto of the project is to build a website where user can drag and drop an image of the celebrity and the website will provide the details of the celebrity.
Dheeraj Sangisetty, Dr. D Usha
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Image Database Assisted Classification

1999
Image similarity can be defined in a number of different semantic contexts. At the lowest common denominator, images may be classified as similar according to geometric properties, such as color and shape distributions. At the mid-level, a deeper image similarity may be defined according to semantic properties, such as scene content or description.
Santini, S., Worring, M., Hunter, E., Kouznetsova, V., Goldbaum, M., Hoover, A.   +5 more
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Image quality in image classification: Adaptive image quality modification with adaptive classification

Computers & Chemical Engineering, 2009
Abstract Process monitoring using imaging can provide valuable information. However, the large number of images obtained necessitate automated classification into those showing “good” and “bad” product. This paper shows how a database of reference images can be used to modify image quality so as to obtain extremely high classification accuracies. The
Shuo Yan, Saed Sayad, Stephen T. Balke
openaire   +1 more source