Vision Transformers for Vein Biometric Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3252009
Abstract: In October 2020, Google researchers present a promising Deep Learning architecture paradigm for Computer Vision that outperforms the already standard Convolutional Neural Networks (CNNs) on multiple image recognition state-of-the-art datasets: Vision Transformers (ViTs). Based on… read more here.
Keywords: transformers vein; fine tuned; biometric recognition; vision transformers ... See more keywords
Electromyography Based Decoding of Dexterous, In-Hand Manipulation Motions With Temporal Multichannel Vision Transformers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3196622
Abstract: Electromyography (EMG) signals have been used in designing muscle-machine interfaces (MuMIs) for various applications, ranging from entertainment (EMG controlled games) to human assistance and human augmentation (EMG controlled prostheses and exoskeletons). For this, classical machine… read more here.
Keywords: emg; hand; hand manipulation; dexterous hand ... See more keywords
Employing a hybrid model based on texture-biased convolutional neural networks and edge-biased vision transformers for anomaly detection of signal bonds
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.023039
Abstract: Abstract. The railway system of Japan plays a vital role in the national transportation network. A key issue in public transport safety is anomaly detection in railways. Lately, developing robust algorithms and methods for anomaly… read more here.
Keywords: neural networks; convolutional neural; model; anomaly detection ... See more keywords
Detecting Tuberculosis-Consistent Findings in Lateral Chest X-Rays Using an Ensemble of CNNs and Vision Transformers
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.864724
Abstract: Research on detecting Tuberculosis (TB) findings on chest radiographs (or Chest X-rays: CXR) using convolutional neural networks (CNNs) has demonstrated superior performance due to the emergence of publicly available, large-scale datasets with expert annotations and… read more here.
Keywords: cnn vit; detecting tuberculosis; chest rays; vision transformers ... See more keywords
BUViTNet: Breast Ultrasound Detection via Vision Transformers
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12112654
Abstract: Convolutional neural networks (CNNs) have enhanced ultrasound image-based early breast cancer detection. Vision transformers (ViTs) have recently surpassed CNNs as the most effective method for natural image analysis. ViTs have proven their capability of incorporating… read more here.
Keywords: ultrasound detection; breast ultrasound; buvitnet breast; breast ... See more keywords
Muscle Cross-Sectional Area Segmentation in Transverse Ultrasound Images Using Vision Transformers
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13020217
Abstract: Automatically measuring a muscle’s cross-sectional area is an important application in clinical practice that has been studied extensively in recent years for its ability to assess muscle architecture. Additionally, an adequately segmented cross-sectional area can… read more here.
Keywords: sectional area; vision transformers; cross sectional; muscle cross ... See more keywords
Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2207.01580
Abstract: In this paper, we present a new approach for model acceleration by exploiting spatial sparsity in visual data. We observe that the final prediction in vision Transformers is only based on a subset of the… read more here.
Keywords: asymmetric computation; dynamic spatial; spatial sparsification; vision transformers ... See more keywords