Results 111 to 120 of about 8,876 (216)
EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection
CoRRRecent advances in foundation video generators such as Sora2, Veo3, and other commercial systems have produced highly realistic synthetic videos, exposing the limitations of existing detection methods that rely on shallow embedding trajectories, image-based adaptation, or computationally heavy MLLMs.
Hung Mai +9 more
openaire +2 more sources
Potato Plant Variety Identification Study Based on Improved Swin Transformer
Potato is one of the most important food crops in the world and occupies a crucial position in China’s agricultural development. Due to the large number of potato varieties and the phenomenon of variety mixing, the development of the potato ...
Chengzhong Liu +6 more
core +1 more source
IEEE Open Journal of Signal ProcessingSemantic segmentation of remote sensing images is extensively used in crop cover and type analysis, and environmental monitoring. In the semantic segmentation of remote sensing images, owning to the specificity of remote sensing images, not only the ...
Rong-Xing Ding +4 more
doaj +1 more source
Reidentifikasi Orang pada Data Visible-Infrared Menggunakan Klasifier Swin Transformer
Reidentifikasi orang menjadi topik penelitian yang sangat hanget dalam beberapa tahun terakhir dalam visi komputer. Dalam penelitian ini mengusulkan pendekatan reidentifikasi orang yang menggunakan klasifier Swin Transformer pada data citra visual ...
Maulana, Muhammad Azhar
core
Transformer face recognition method based on multi-level feature fusion
四川大学学报. 自然科学版The convolutional operation in a convolutional neural network only captures local information, whereas the Transformer retains more spatial information and can create long-range connections of images. In the application of vision field, Transformer lacks
XIA Gui-Shu +4 more
doaj
Brain Tumor Segmentation in MR Images Using Swin Transformer
Brain tumors are abnormal tissue growths in the brain. These brain tumors can have a negative impact on human health, one of which can interfere with brain functions such as vision, balance, and so on.
Nurhanafi, K., Nur, A., Putri, E. R.
core +1 more source
Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model
IEEE AccessAccurate identification of wheat diseases is an essential component for increasing crop yields and guaranteeing global food security. However, subjective opinions, errors, and laborious procedures frequently limit traditional approaches, which are based ...
Waqar Khalid +3 more
doaj +1 more source
IEEE AccessImpulsive acoustic event classification based on spectrogram representations remains challenging due to the non-stationary and broadband characteristics of transient signals.
Pafan Doungpaisan, Peerapol Khunarsa
doaj +1 more source
Oral cancer, a pervasive and rapidly growing malignant disease, poses a significant global health concern. Early and accurate diagnosis is pivotal for improving patient outcomes.
Bofan Song +5 more
core +1 more source
COVID-19 Detection in Chest X-ray Images Using Swin-Transformer and Transformer in Transformer
, 2022 The Coronavirus Disease 2019 (COVID-19) has spread globally and caused serious damage. Chest X-ray images are widely used for COVID-19 diagnosis and the Artificial Intelligence method can increase efficiency and accuracy.
Lin, Shuyi, Jiang, Juntao
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