Results 31 to 40 of about 18,617 (276)
Facial Expression Recognition with Swin Transformer
The task of recognizing human facial expressions plays a vital role in various human-related systems, including health care and medical fields. With the recent success of deep learning and the accessibility of a large amount of annotated data, facial expression recognition research has been mature enough to be utilized in real-world scenarios with ...
Jun-Hwa Kim, Namho Kim, Chee Sun Won
openaire +2 more sources
A Swin Transformer-based model for mosquito species identification
Mosquito transmit numbers of parasites and pathogens resulting in fatal diseases. Species identification is a prerequisite for effective mosquito control. Existing morphological and molecular classification methods have evitable disadvantages.
De-zhong Zhao +8 more
doaj +1 more source
Design of Single-Switch Inverters for Variable Resistance/Load Modulation Operation [PDF]
Single-Switch inverters such as the conventional Class-E inverter are often highly load sensitive, and maintain zero-voltage switching over only a narrow range of load resistances.
Al Bastami, Anas Ibrahim +3 more
core +1 more source
SwinIR: Image Restoration Using Swin Transformer [PDF]
Image restoration is a long-standing low-level vision problem that aims to restore high-quality images from low-quality images (e.g., downscaled, noisy and compressed images). While state-of-the-art image restoration methods are based on convolutional neural networks, few attempts have been made with Transformers which show impressive performance on ...
Jingyun Liang +5 more
openaire +2 more sources
Automatic surface water body mapping using remote sensing technology is greatly meaningful for studying inland water dynamics at regional to global scales.
Donghui Ma +3 more
doaj +1 more source
Dynamic fracture-initation toughness determination of AI 7075-T651 aluminum alloy [PDF]
We present values of the static and dynamic fracture-initiation toughness at different loading rates of the aluminum alloy Al 7075-T651 obtained on three-point bend specimens with different thicknesses and initial crack lengths. In static conditions, the
Fernández Sáez, José +1 more
core +2 more sources
Comparative analysis of transformer architectures for brain tumor classification [PDF]
Aim: Early and accurate diagnosis of brain tumors is critical for treatment success, but manual magnetic resonance imaging (MRI) interpretation has limitations.
Yigitcan Cakmak, Ishak Pacal
doaj +1 more source
Enhancing medical image segmentation with a multi-transformer U-Net [PDF]
Various segmentation networks based on Swin Transformer have shown promise in medical segmentation tasks. Nonetheless, challenges such as lower accuracy and slower training convergence have persisted. To tackle these issues, we introduce a novel approach
Yongping Dan +3 more
doaj +2 more sources
Swin-APT: An Enhancing Swin-Transformer Adaptor for Intelligent Transportation
Artificial Intelligence has been widely applied in intelligent transportation systems. In this work, Swin-APT, a deep learning-based approach for semantic segmentation and object detection in intelligent transportation systems is presented. Swin-APT includes a lightweight network and a multiscale adapter network designed for image semantic segmentation
Yunzhuo Liu +4 more
openaire +2 more sources
Estimating glue-layer defects on plywood through computer vision methods [PDF]
Making quality film-faced plywood is a vital issue for the manufacturer as it decides the quality of the end product made from this film-faced plywood.
Baad, Swapnil
core

