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Optimized vision transformer encoder with cnn for automatic psoriasis disease detection
Psoriasis is a skin disorder that results in swollen skin cells and red, itchy areas on the skin. 40% of the world's population is currently affected...
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Automatic skin lesion segmentation using attention residual U-Net with improved encoder-decoder architecture
The automatic segmentation of skin lesions in dermoscopic images is a challenging task due to the presence of artifacts, small lesion sizes, and low...
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Multi-dimensional feature extraction-based deep encoder–decoder network for automatic surface defect detection
The control of surface defects is of critical importance in manufacturing quality control systems. Today, automatic defects detection using imaging...
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Semantic road segmentation using encoder-decoder architectures
Road detection is a fundamental task in autonomous driving, making accurate and efficient road area segmentation essential for the safe and precise...
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Encoder–Decoder Network with Depthwise Atrous Spatial Pyramid Pooling for Automatic Brain Tumor Segmentation
The accurate automated brain tumor segmentation is important for disease analysis and control and increases the likelihood of survival. However, it...
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Convolutional Auto-Encoder and Independent Component Analysis Based Automatic Place Recognition for Moving Robot in Invariant Season Condition
Building up a map is essential for mobile robots to localize their position and perfect autonomous navigation which is known as Simultaneous...
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Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model
With the development of cloud computing, more and more security problems like “fuzzy boundary” are exposed. To solve such problems, unsupervised...
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N-Net: an UNet architecture with dual encoder for medical image segmentation
In order to assist physicians in diagnosis and treatment planning, accurate and automatic methods of organ segmentation are needed in clinical...
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IWM-LSTM encoder for abstractive text summarization
Sequence-to-sequence models are fundamental building blocks for generating abstractive text summaries, which can produce precise and coherent...
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Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder
Recommendation systems have been effectively utilized in various fields, but their internal decision-making methods are still largely unknown. This...
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Guiding image inpainting via structure and texture features with dual encoder
Image inpainting techniques have made rapid progresses in recent years. Recent advancements focus mainly on generating realistic and semantically...
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A transformer-encoder-based multimodal multi-attention fusion network for sentiment analysis
Feature fusion for multimodal sentiment analysis is a challenging but worthwhile research topic. With the extension of the time dimension, there are...
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ZS-CEBE: leveraging zero-shot cross and bi-encoder architecture for cold-start news recommendation
News recommendation systems heavily rely on the information exchange between news articles and users to personalize the recommendation. Consequently,...
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Analytical study of the encoder-decoder models for ultrasound image segmentation
Accurate diagnosis and treatment planning for medical conditions rely heavily on the results of medical image segmentation. Medical images are...
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Multimodal MRI brain tumor segmentation using 3D attention UNet with dense encoder blocks and residual decoder blocks
Medical image segmentation is essential for disease diagnosis and for supporting medical decision systems. Automatic segmentation of brain tumors...
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Attention-based misaligned spatiotemporal auto-encoder for video anomaly detection
To face the shortcomings of the auto-encoder (AE) algorithm in terms of weak dynamic object extraction and strong reconstruction ability in abnormal...
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An efficient automated image caption generation by the encoder decoder model
Image caption generation is becoming one of the hot research topics and attracts various researchers. It is a complex process because it utilizes...
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Towards automatic question generation using pre-trained model in academic field for Bahasa Indonesia
Exam evaluations are essential to assessing students’ knowledge and progress in a subject or course. To meet learning objectives and assess student...
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Repformer: a robust shared-encoder dual-pipeline transformer for visual tracking
Siamese-based trackers have achieved outstanding tracking performance. However, these trackers in complex scenarios struggle to adequately integrate...
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Automatic software code repair using deep learning techniques
In the multi-hundred-billion-dollar industry of software development, the debugging process is an expensive task for developers. So, much effort has...
