Results 121 to 130 of about 8,876 (216)

Swin Transformer Fusion Network for Image Quality Assessment

IEEE Access
This paper presents an efficient deep-learning model named Swin Transformer fusion network (STFN) for full-reference image quality assessment (FR-IQA). The STFN model uses the first and second stages of the Swin Transformer for feature extraction.
Hyeongmyeon Kim, Changhoon Yim
doaj   +1 more source

Attention-Guided Swin Transformer for Retinal Disease Classification in Fundus Images Using Self-Distillation Mechanism

ITEGAM-JETIA
Organizing systems which detect retinal diseases in fundus images face difficulties because of the existence of minute visual details alongside overlapping medical patterns.
S. Saranya, Pr. Buvaneswari, P. Kavipriya, J. Velumani, Helina Rajini Suresh, U. Harita   +5 more
doaj   +1 more source

Efficient Waste Classification in Cisadane River Using Vision Transformer and Swin Transformer Architectures

The increasing volume of waste in rivers has become a serious environmental problem. This study proposes the implementation of Artificial Intelligence (AI)-based models, specifically Vision Transformer (ViT) and Swin Transformer, for an automatic waste ...
Surahmat, Asep, Mutiarawan, Rezza Anugrah   +1 more
core   +2 more sources

STUCNET – SWIN TRANSFORMER-V2 UNET FOR CRACK SEGMENTATION NETWORK

, 2023
Automatic crack detection on road surfaces is an important task for supporting the quality control of road infrastructure in transportation. Various methods have been proposed for crack segmentation, but their accuracy is still limited.
Phan, Hai-Hong, Nguyen, Le Hoang Tung
core   +1 more source

High-precision non-destructive blade surface inspection via self learning transformer networks

Scientific Reports
Accurate identification of defects in Jet Engine Turbine and compressor blade surface plays a vital role in ensuring engine efficiency, safety and secure life.
Priyadharshini Kannusamy, D. Gayathri, S. Mirdula, Ramasubramanian Bhoopalan, D. Manikandan, Krishnaraj Ramaswamy   +5 more
doaj   +1 more source

Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition

Swin-Transformer has demonstrated remarkable success in computer vision by leveraging its hierarchical feature representation based on Transformer. In speech signals, emotional information is distributed across different scales of speech features, e.\,g.,
Lu, Cheng, Lian, Hailun, Zong, Yuan, Zhao, Yan, Zheng, Wenming, Wang, Yong, Schuller, Björn   +6 more
core   +1 more source

A novel object detection algorithm based on Swin Transformer. [PDF]

Sci Rep
Qian Y, Zhang Z, Wang B, Wu W.
europepmc   +1 more source

Reidentifikasi Orang pada Data Parsial menggunakan Klasifier Swin Transformer

Penelitian ini dilatarbelakangi oleh kebutuhan untuk mengembangkan sistem reidentifikasi orang yang efektif dalam situasi di mana hanya data parsial tersedia, seperti dalam pengawasan keamanan di area publik atau lalu lintas.
Soemarso, Bayuadi Prakoso
core  

RSTSRN: Recursive Swin Transformer Super-Resolution Network for Mars Images

High-resolution optical images will provide planetary geology researchers with finer and more microscopic image data information. In order to maximize scientific output, it is necessary to further increase the resolution of acquired images, so image ...
Yao Fu, Tianjiao Fu, Chunlei Zhao, Fanlu Wu, Xiaonan Jiang, Dongdong Xu   +5 more
core   +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc   +1 more source