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Person re-identification based on multi-scale feature fusion and multi-attention mechanism
Person re-identification is an image retrieval technique for person in real scenes. Due to factors such as camera angle, lighting, and occlusion,...
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Multimodal speech emotion recognition based on multi-scale MFCCs and multi-view attention mechanism
In recent years, speech emotion recognition (SER) increasingly attracts attention since it is a key component of intelligent human-computer...
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An encoder-decoder network for crowd counting based on multi-scale attention mechanism
Crowd counting is a challenging computer vision task, which is widely used in video surveillance and public safety applications. With the increase of...
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Multi-scale feature fusion with attention mechanism for crowded road object detection
Crowded object detection under the heavy traffic environment is always a challenging task in the field of autonomous driving and robotics, because...
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A stacked convolutional neural network framework with multi-scale attention mechanism for text-independent voiceprint recognition
Short-utterance speaker identification is a difficult area of study in natural language processing (NLP). Most cutting-edge experimental approaches...
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Super resolution reconstruction of CT images based on multi-scale attention mechanism
CT diagnosis has been widely used in clinic because of its special diagnostic value. The image resolution of CT imaging system is constrained by...
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Multi-channel and multi-scale separable dilated convolutional neural network with attention mechanism for flue-cured tobacco classification
Tobacco classification is a challenging research topic and plays a crucial role in the process of cigarette production. Tobacco classification mainly...
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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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DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images
Unmanned aerial vehicles are increasingly popular due to their ease of operation, low noise, and portability. However, existing object detection...
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Residual attention mechanism and weighted feature fusion for multi-scale object detection
Object detection is one of the critical problems in computer vision research, which is also an essential basis for understanding high-level semantic...
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Capsule Network Based on Double-layer Attention Mechanism and Multi-scale Feature Extraction for Remaining Life Prediction
The era of big data provides a platform for high-precision RUL prediction, but the existing RUL prediction methods, which effectively extract key...
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MSSD: multi-scale object detector based on spatial pyramid depthwise convolution and efficient channel attention mechanism
Object detection has made widespread development and remarkable progress in various fields, but, in complex application scenarios, often encounters...
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A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism
Froth image segmentation is the most popular method for bubble size measurement. However, in the froth flotation, froth images are with...
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MLANet: multi-level attention network with multi-scale feature fusion for crowd counting
Estimating the population in a given scene is a process known as crowd counting. The field has recently garnered significant attention, and many...
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Research on Multi-scale Pedestrian Attribute Recognition Based on Dual Self-attention Mechanism
As one of the important fields of computer vision research, pedestrian attribute recognition has gained increasing attention from domestic and...
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MFANet: Multi-scale feature fusion network with attention mechanism
In order to improve the detection accuracy of the network, it proposes multi-scale feature fusion and attention mechanism net (MFANet) based on deep...
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MDAA: multi-scale and dual-adaptive attention network for breast cancer classification
Attention mechanism is crucial in the auxiliary diagnosis of breast cancer. However, methods relying on a single attention mechanism may not always...
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A multi-scale fusion and dual attention network for crowd counting
Recently, crowd counting has been continuously a hot topic in the field of computer vision and achieved significant progress using deep learning...
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A multi-scale feature extraction and fusion method for bearing fault diagnosis based on hybrid attention mechanism
Bearing failure is one of the most common failures in rotating mechanical. Therefore, rapid and accurate diagnosis of bearing faults is of great...
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MSA-Net: Multi-scale attention network for image splicing localization
In this paper, we introduce the novel Multi-Scale Attention Network (MSA-Net) to address the challenge of locating diverse types and sizes of...
