Results 81 to 90 of about 1,512,599 (152)

DeepFake Video Detection using Vision Transformer [PDF]

International Journal of Intelligent Computing and Information Sciences
Technology is always a double-edged sword, and with the astonishing advancements in technology, it is expected that the DeepFake problem will become more common and serious.
Shereen Hussien, Seif Mohamed
doaj   +1 more source

Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study

Journal of Ovarian Research
Objectives The study aimed to compare the diagnostic efficacy of the machine learning models with expert subjective assessment (SA) in assessing the malignancy risk of ovarian tumors using transvaginal ultrasound (TVUS).
Xin He, Xiang-Hui Bai, Hui Chen, Wei-Wei Feng   +3 more
doaj   +1 more source

Cocoa Ripeness Classification Using Vision Transformer

Journal of Applied Engineering and Technological Science
The quality of manual methods for assessing the ripeness of cocoa pods is subjective and varies from one person to another because of the intense labor required and variation of light and background conditions within the field. This research implemented
Febryanti Sthevanie, Untari Novia Wisesty, Gia Septiana Wulandari, Kurniawan Nur Ramadhani   +3 more
doaj   +1 more source

BViT: Broad Attention based Vision Transformer [PDF]

, 2023
Recent works have demonstrated that transformer can achieve promising performance in computer vision, by exploiting the relationship among image patches with self-attention. While they only consider the attention in a single feature layer, but ignore the
Chen, Yaran, Ding, Zixiang, Zhao, Dongbin, Li, Weifan, Li, Nannan   +4 more
core  

Comparing various vision transformer architectures for lung cancer classification

This study presents a comprehensive evaluation of vision transformer-based architectures for lung histopathology image classification using the LC25000 dataset.
Megha Jain, Manish Rai, Sunil Kumar
core   +1 more source

A data efficient pyramid vision transformer for image classification

Discover Artificial Intelligence
Transformer-based models such as the vision transformer (ViT) have seen widespread use in computer vision tasks. However, while ViT demonstrates excellent performance, it requires a massive dataset and the process of computing self-attention between ...
Gazi Jannatul Ferdous, Mehdi Hasan Chowdhury, Md. Azad Hossain, M. Ali Akber Dewan   +3 more
doaj   +1 more source

A Study on Deep Learning Performances of Identifying Images’ Emotion: Comparing Performances of Three Algorithms to Analyze Fashion Items

Applied Sciences
Emotion recognition using AI has garnered significant attention in recent years, particularly in areas such as fashion, where understanding consumer sentiment can drive more personalized and effective marketing strategies.
Gaeun Lee, Seoyun Yi, Jongtae Lee
doaj   +1 more source

Cross-scale Vision Transformer for crowd localization

Journal of King Saud University: Computer and Information Sciences
Crowd localization can provide the positions of individuals and the total number of people, which has great application value for security monitoring and public management, meanwhile it meets the challenges of lighting, occlusion and perspective effect ...
Shuang Liu, Yu Lian, Zhong Zhang, Baihua Xiao, Tariq S. Durrani   +4 more
doaj   +1 more source

HSViT: Horizontally Scalable Vision Transformer [PDF]

Due to its deficiency in prior knowledge (inductive bias), Vision Transformer (ViT) requires pre-training on large-scale datasets to perform well. Moreover, the growing layers and parameters in ViT models impede their applicability to devices with ...
Xu, Chenhao, Lim, Chee Peng, Creighton, Douglas, Li, Chang-Tsun   +3 more
core   +1 more source

Vision Transformer untuk Klasifikasi Kematangan Pisang

Jurnal Teknologi Informasi dan Ilmu Komputer
Produksi pisang di Indonesia pada tahun 2022 mencapai 9,6 juta ton buah. Metode konvensional yang digunakan untuk menentukan tingkat kematangan pisang masih mengandalkan indera penglihatan manusia dengan memperhatikan perubahan warna kulit pisang. Namun,
Arya Pangestu, Bedy Purnama, Risnandar Risnandar   +2 more
doaj   +1 more source