Results 111 to 120 of about 2,105 (150)

EA-Swin: An Embedding-Agnostic Swin Transformer for AI-Generated Video Detection

CoRR
Recent 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, Loi Dinh, Duc Hai Nguyen, Dat Do, Luong Doan, Khanh Nguyen Quoc, Huan Vu, Phong Ho, Naeem Ul Islam, Tuan Do   +9 more
openaire   +2 more sources

A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains

Cytopathology, Volume 37, Issue 5, Page 493-502, September 2026.
Transformer‐based unified cytology segmentation across Papanicolaou, Feulgen and AgNOR achieves stain‐invariant performance. Mask2Former maximises boundary precision (AP75) on the combined dataset, enabling one model to replace multiple stain‐specific deployments without accuracy loss while simplifying clinical integration.
Luís Otávio Santos, Rodrigo de Paula E. Silva Ribeiro, Bibiana Quatrin Tiellet, Laura Maria Effting Silva, Fabiana Botelho de Miranda Onofre, Alexandre Sherlley Casimiro Onofre, Aldo von Wangenheim   +6 more
wiley   +1 more source

Swin Routiformer: Moss Classification Algorithm Based on Swin Transformer With Bi-Level Routing Attention

IEEE Access
Accurate classification of moss species is essential for progress in ecology and biology. However, traditional methods for classifying moss require significant expertise, and current deep learning techniques struggle due to limited dataset diversity and ...
Peichen Li, Huiqin Wang, Zhan Wang, Ke Wang, Chong Wang   +4 more
doaj   +1 more source

AI‐Based Segmentation of Wound Types Caused by Epidermolysis Bullosa

Experimental Dermatology, Volume 35, Issue 9, September 2026.
ABSTRACT Epidermolysis bullosa (EB) defines a group of rare, inherited and currently incurable genetic disorders characterized by excessive skin fragility, with blistering and wounding of skin and mucous membranes upon minor mechanical trauma. Accurate wound assessment is imperative for measuring and longitudinal monitoring of disease activity and for ...
Georg Wimmer, Christian Puttinger, Pamina Schlager, Roland Zauner, Carolin Gemeier, Tobias Welponer, Christine Prodinger, Anja Diem, Katharina Ude‐Schoder, Christina Guttmann‐Gruber, Bernadette Liemberger, Martin Laimer, Johann W. Bauer, Andreas Uhl   +13 more
wiley   +1 more source

SE‐Swin: An improved Swin‐Transfomer network of self‐ensemble feature extraction framework for image retrieval

IET Image Processing
The Swin‐Transformer is a variant of the Vision Transformer, which constructs a hierarchical Transformer that computes representations with shifted windows and window multi‐head self‐attention.
Yixuan Xu, Xianbing Wang, Hua Zhang, Hai Lin   +3 more
doaj   +1 more source

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Random Swin Transformer

2022 22nd International Conference on Control, Automation and Systems (ICCAS), 2022
Keong-Hun Choi, Jong-Eun Ha
openaire   +1 more source

Swin transformer-based supervised hashing

Applied Intelligence, 2023
Liangkang Peng, Jiangbo Qian, Chong Wang 0001, Baisong Liu, Yihong Dong   +4 more
openaire   +2 more sources

Underwater Object Detection with Swin Transformer

2022 4th International Conference on Data Intelligence and Security (ICDIS), 2022
Yuqi Sun, Xuan Wang 0002, Yi Zheng, Lin Yao 0004, Shuhan Qi, Linlin Tang, Hong Yi, Kunlei Dong   +7 more
openaire   +2 more sources

CCST: crowd counting with swin transformer

The Visual Computer, 2022
Bo Li 0128, Yong Zhang 0029, Haihui Xu, Baocai Yin   +3 more
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Pyramid Swin Transformer: Different-Size Windows Swin Transformer for Image Classification and Object Detection

Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2023
Chenyu Wang, Toshio Endo, Takahiro Hirofuchi, Tsutomu Ikegami   +3 more
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