Results 141 to 150 of about 18,617 (276)

LDCSF: Local depth convolution-based Swim framework for classifying multi-label histopathology images

, 2023
Histopathological images are the gold standard for diagnosing liver cancer. However, the accuracy of fully digital diagnosis in computational pathology needs to be improved.
Dou, Yutao, Feng, Zhichao, Pan, Liangrui, Peng, Shaoliang, Xu, Liwen   +4 more
core  

Sounds like gambling : detection of gambling venue visitation from sounds in gamblers’ environments using a transformer [PDF]

Objective digital measurement of gamblers visiting gambling venues is conducted using cashless cards and facial recognition systems, but these methods are confined within a single gambling venue.
304901/profile-ja.html, 350235/profile-ja.html, 811, 973, Abe, Nobuhito, Takahashi, Hideyuki, Takamura, Masahiro, Yamamoto, Tetsuya, Yokotani, Kenji, ヤマモト, テツヤ, ヨコタニ, ケンジ, 山本, 哲也, 横谷, 謙次   +12 more
core  

Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning

, 2023
Intracranial hemorrhage (ICH) is a life-threatening medical emergency caused by various factors. Timely and precise diagnosis of ICH is crucial for administering effective treatment and improving patient survival rates.
Rasoulian, Amirhossein, Salari, Soorena, Xiao, Yiming   +2 more
core  

Multiscale transformer-based network for rangeland plant classification used in pasture scoring [PDF]

Rangeland ecosystems have been sources for pastoral communities. However, traditional seasonal mobility patterns are disrupted by climate change, requiring more dynamic, data-driven plant-based rangeland assessment.
Nasirahmadi, Abozar
core  

UperFormer: A Multi-scale Transformer-based Decoder for Semantic Segmentation

, 2022
While a large number of recent works on semantic segmentation focus on designing and incorporating a transformer-based encoder, much less attention and vigor have been devoted to transformer-based decoders.
Gao, Pan, Li, Qizhu, Shi, Wentao, Wang, Zhengwei, Xu, Jing   +4 more
core  

SwinVid: Enhancing Video Object Detection Using Swin Transformer [PDF]

Abdelrahman Maharek, Amr Abozeid, Rasha Orban, Kamal A. ElDahshan   +3 more
openalex   +1 more source

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

Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention

, 2023
Self-attention mechanism has been a key factor in the recent progress of Vision Transformer (ViT), which enables adaptive feature extraction from global contexts.
Huang, Gao, Pan, Xuran, Song, Shiji, Xia, Zhuofan, Ye, Tianzhu   +4 more
core  

SwinCross: Cross‐modal Swin transformer for head‐and‐neck tumor segmentation in PET/CT images [PDF]

, 2023
Gary Y. Li, Junyu Chen, Se‐In Jang, Kuang Gong, Quanzheng Li   +4 more
openalex   +1 more source

PPLA-Transformer: An Efficient Transformer for Defect Detection with Linear Attention Based on Pyramid Pooling

Sensors
Defect detection is crucial for quality control in industrial products. The defects in industrial products are typically subtle, leading to reduced accuracy in detection.
Xiaona Song, Yubo Tian, Haichao Liu, Lijun Wang, Jinxing Niu   +4 more
doaj   +1 more source