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A data efficient transformer based on Swin Transformer
Almost all Vision Transformer-based models need to pre-train on the massive datasets and costly computation. Suppose researchers do not have enough...
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DEC-transformer: deep embedded clustering with transformer on Chinese long text
Long text clustering is of great significance and practical value in data mining, such as information retrieval, text integration, and data...
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PL-Transformer: a POS-aware and layer ensemble transformer for text classification
The transformer-based models have become the de-facto standard for natural language processing (NLP) tasks. However, most of these models are only...
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Geometry-aware 3D pose transfer using transformer autoencoder
3D pose transfer over unorganized point clouds is a challenging generation task, which transfers a source’s pose to a target shape and keeps the...
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Integrating prior knowledge to build transformer models
The big Artificial General Intelligence models inspire hot topics currently. The black box problems of Artificial Intelligence (AI) models still...
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Siamese transformer RGBT tracking
Siamese-based RGBT trackers have attracted wide attention because of their high efficiency. However, there is a lack of an effective multimodal...
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TSF-transformer: a time series forecasting model for exhaust gas emission using transformer
Monitoring and prediction of exhaust gas emissions for heavy trucks is a promising way to solve environmental problems. However, the emission data...
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Transformer-based image super-resolution and its lightweight
Transformer has shown remarkable performance improvements over convolutional neural network (CNN) in natural language processing and high-level...
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Hierarchical Patch Aggregation Transformer for Motion Deblurring
The encoder-decoder framework based on Transformer components has become a paradigm in the field of image deblurring architecture design. In this...
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Video captioning using transformer-based GAN
Video captioning is the process of automatically generating natural language descriptions of video content. Historically, most video captioning...
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Multi-input trademark element recognition with transformer
The trademark element recogniton is a crucial task in applications such as trademark brand evaluation and trademark infringement identification. In...
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Design tactics for tailoring transformer architectures to cybersecurity challenges
In the rapidly evolving landscape of cyber threats, effective defense strategies are crucial for safeguarding sensitive information and critical...
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Transformer based fruits disease classification
As technology progresses, automation is increasingly gaining importance, and one area where it holds significant potential is fruit classification....
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PCCFormer: Parallel coupled convolutional transformer for image super-resolution
In recent years, with the continuous development of deep learning technology, image super-resolution (SR) has witnessed tremendous progress....
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CWC-transformer: a visual transformer approach for compressed whole slide image classification
The rapid development of Artificial Intelligence (AI) technology accelerates the application of computational pathology in clinical decision-making....
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STR Transformer: A Cross-domain Transformer for Scene Text Recognition
Scene text recognition is an indispensable part of computer vision, which aims to extract text information from an image. However, effective...
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MeT: mesh transformer with an edge
Transformers have been widely applied in various vision tasks processing different data, such as images, videos and point clouds. However, the use of...
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STransLOT: splitting-refusion transformer for low-light object tracking
In the field of tracking, more and more trackers are using the great potential of the transformer to form the framework. Most of them use the...
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TNT-Net: Point Cloud Completion by Transformer in Transformer
Estimating the overall structure of a point cloud from a partial 3D point cloud input is a crucial task in computer vision. However, existing point...
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HM-Transformer: Hierarchical Multi-modal Transformer for Long Document Image Understanding
Transformer plays a massive role in document image understanding. However, it has difficulty handling text in long document images due to the...