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M2S2-FNet: Multi-scale, Multi-stream feature network with Attention mechanism for classification of breast histopathological image
Breast cancer (BC) is the most commonly diagnosed cancer type, especially in women. Identifying the subtype of malignant (cancer) lesions can help to...
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Personalized clothing recommendation fusing the 4-season color system and users’ biological characteristics
In clothing e-commerce, the challenge of optimally recommending clothing that suits a user’s unique characteristics remains a pressing issue. Many...
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Vehicle Trajectory Prediction Model Based on Fusion Neural Network
To address the problem of the lack of interpretability of vehicle trajectory prediction models based on deep learning, this paper proposes a Fusion...
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Pupil centre’s localization with transformer without real pupil
Pupil Centre’s localization is an essential aspect of ergonomics; it may be used in emotion analysis and attention evaluation. Numerous research...
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A lightweight model using frequency, trend and temporal attention for long sequence time-series prediction
Although deep learning makes great success in increasing the accuracy for long sequence time-series forecasting, its complex neural network...
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DATE: a video dataset and benchmark for dynamic hand gesture recognition
This paper proposes a new Dynamic hAnd gesTurE (DATE) dataset for dynamic hand gestures. The DATE dataset contains 13,500 videos of 22 different...
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Femoral head segmentation based on improved fully convolutional neural network for ultrasound images
Developmental dysplasia of the hip is a medical term representing the hip joint instability that appears mainly in infants. The assessment metric of...
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Camouflaged Object Detection via Global-Edge Context and Mixed-Scale Refinement
Camouflage object detection (COD), trying to segment objects that blend perfectly with the surrounding environment, is challenging and complex in...
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WAE-TLDN: self-supervised fusion for multimodal medical images via a weighted autoencoder and a tensor low-rank decomposition network
Multimodal medical image fusion (MMIF) integrates the advantages of multiple source images to assist clinical diagnosis. Existing image fusion...
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A visually secure image encryption algorithm based on block compressive sensing and deep neural networks
A novel visually secure image encryption algorithm is proposed by combining compressive sensing and deep neural networks. To achieve a tradeoff...
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Boundary-guided context-aware network for camouflaged object detection
Camouflaged object detection (COD) aims to identify and segment items that are seamlessly assimilate into the surroundings. Compared with the...
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Multi-orientation depthwise extraction for stereo image super-resolution
The increasing trend of binocular imaging in recent years has sparked a surge of interest in stereo image super-resolution. While considerable...
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A Fast and Scalable Frame-Recurrent Video Super-Resolution Framework
The video super-resolution(VSR) methods based on deep learning have become the mainstream VSR methods and have been widely used in various fields....
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Legality Identification of Japanese Online Advertisements Using Complex-Valued Support Vector Machines with DFT-Coded Document Vectors
As the Internet advertising market expands, the number of advertisements containing inappropriate language is increasing. Advertisements that...
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Lcp-mixer: a lightweight model based on concept-level perception for NLP
Transformer-based models excel in natural language processing tasks but demand extensive computational resources and memory. To address this...
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A fast feature selection technique for real-time face detection using hybrid optimized region based convolutional neural network
Today, face recognition research is popular owing to its potential applications, especially where privacy and security are involved. Many methods of...
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A small object detection network for remote sensing based on CS-PANet and DSAN
The proportion of small objects in remote sensing images is relatively small, which is prone to feature loss or interference from the surrounding...
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Alternate guidance network for boundary-aware camouflaged object detection
Camouflaged object, similar to the background, shows indistinct boundaries and low-contrast features, which brings great challenges to the detection...
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A comparative study on facial expression recognition using local binary patterns, convolutional neural network and frequency neural network
As the principal processing method for nonverbal intentions, Facial Expression Recognition (FER) is an important and promising topic of computer...
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Conv-Attention: A Low Computation Attention Calculation Method for Swin Transformer
Transformer networks have excellent performance in various different vision tasks, especially object detection. However, in practical applications,...
