Convolved Quality Transformer: Image Quality Assessment via Long-Range Interaction Between Local Perception
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DOI: 10.1109/access.2022.3209810
Abstract: A hybrid architecture composed of a convolutional neural network (CNN) and a Transformer is the new trend in realizing various vision tasks while pushing the limits of learning representation. From the perspective of mechanisms of… read more here.
Keywords: interaction; image quality; quality; quality assessment ... See more keywords
A CNN-Transformer Network With Multiscale Context Aggregation for Fine-Grained Cropland Change Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3177235
Abstract: Nonagriculturalization incidents are serious threats to local agricultural ecosystem and global food security. Remote sensing change detection (CD) can provide an effective approach for in-time detection and prevention of such incidents. However, existing CD methods… read more here.
Keywords: change detection; change; cnn; cnn transformer ... See more keywords
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3208714
Abstract: In real-world crowd counting applications, the crowd densities in an image vary greatly. When facing density variation, humans tend to locate and count the targets in low-density regions, and reason the number in high-density regions.… read more here.
Keywords: density regions; adaptive selection; density; cnn transformer ... See more keywords
Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3245674
Abstract: As an important task in the field of remote sensing (RS) image processing, RS image change detection (CD) has made significant advances through the use of convolutional neural networks (CNNs). The transformer has recently been… read more here.
Keywords: cross attention; remote sensing; cnn transformer; transformer ... See more keywords
A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3273651
Abstract: As a unique physiological electrical signal in the human body, surface electromyography (sEMG) signals always include human movement intention and muscle state. Through the collection of sEMG signals, different gestures can be effectively recognized. At… read more here.
Keywords: recognition; transformer hybrid; network; cnn transformer ... See more keywords
A CNN-transformer fusion network for COVID-19 CXR image classification
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0276758
Abstract: The global health crisis due to the fast spread of coronavirus disease (Covid-19) has caused great danger to all aspects of healthcare, economy, and other aspects. The highly infectious and insidious nature of the new… read more here.
Keywords: network; classification; covid; cnn transformer ... See more keywords
CFormerFaceNet: Efficient Lightweight Network Merging a CNN and Transformer for Face Recognition
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13116506
Abstract: Most face recognition methods rely on deep convolutional neural networks (CNNs) that construct multiple layers of processing units in a cascaded form and employ convolution operations to fuse local features. However, these methods are not… read more here.
Keywords: efficient lightweight; face recognition; face; cnn transformer ... See more keywords