- A multibranch and multiscale neural network based on semantic ...🔍
- Multi|Scale Feature Fusion Convolutional Neural Network for Indoor ...🔍
- Multilevel Attention and Multiscale Feature Fusion Network for ...🔍
- Attentional Feature Fusion🔍
- Attention|based dual|path feature fusion network for automatic skin ...🔍
- A Multi|Feature Fusion Model Based on Denoising Convolutional ...🔍
- A Multiscale Dual|Branch Feature Fusion and Attention Network For ...🔍
- AMF|SparseInst🔍
A multiscale feature fusion network based on attention mechanism ...
A multibranch and multiscale neural network based on semantic ...
Furthermore, a feature fusion and reconstruction network is developed, leveraging multiple attention mechanisms. These attention mechanisms ...
Multi-Scale Feature Fusion Convolutional Neural Network for Indoor ...
This paper proposed an indoor small target detection method based on multi-scale feature fusion to improve the detection accuracy and detection speed of ...
Multilevel Attention and Multiscale Feature Fusion Network for ...
Based on this, the low-level and middle-level feature map extracted from Chinese IWPs are processed by the spatial attention mechanism to ...
Attentional Feature Fusion - CVF Open Access
Based on the multi-scale channel attention module M, At- tentional Feature ... A benchmark dataset and multi-scale attention network for semantic traffic light ...
Attention-based dual-path feature fusion network for automatic skin ...
The Multi-scale Feature Selection module (MFS) can focus the network's attention ... feature fusion module uses the attention mechanism to ...
A Multi-Feature Fusion Model Based on Denoising Convolutional ...
A Multi-Feature Fusion Model Based on Denoising Convolutional Neural Network and Attention Mechanism for Image Classification: 10.4018/IJSIR.324074: Spatial ...
A Multiscale Dual-Branch Feature Fusion and Attention Network For ...
A lot of methods based on 2-D an attention mechanism to learn HSIs discriminative features. CNN have been proposed to apply in the HSIs classification and ...
MFANet: Multi-scale feature fusion network with attention mechanism
MFANet: Multi-scale feature fusion network with attention mechanism. https://doi.org/10.1007/s00371-022-02503-4 ·. Journal: The Visual Computer, 2022, № 7, ...
MSFFA: a multi-scale feature fusion and attention mechanism ...
References · [1]. Zhang, Y., Zhou, D., Chen, S., Gao, S., Ma, Y.: Single-image crowd counting via multi-column convolutional neural network. · [2]. Li, Y., Zhang, ...
AMF-SparseInst: Attention-guided Multi-Scale Feature fusion ...
AMF-SparseInst: Attention-guided Multi-Scale Feature fusion network based on SparseInst ... attention mechanism (called SimAM). It can ...
Multi-Scale Fusion Siamese Network Based on Three ... - NASA ADS
... attention mechanisms, and indistinguishable change areas, we propose a multi-scale feature fusion Siamese network based on attention mechanism (ABMFNet). To ...
Multilevel Attention and Multiscale Feature Fusion Network for ...
Most of the existing methods mainly solve the problem by using deep convolutional neural networks as feature extractors. ... In this paper, a novel model based on ...
Multi-Scale Feature Fusion Facial Expression Recognition based on ...
Improved the hybrid attention mechanism to enhance the ability of feature expression;. 3. Use pyramid convolution to improve the residual network and improve ...
Attention-based mechanism and feature fusion network for person re ...
... based on attention mechanism is proposed. Firstly, person features are extracted using a hybrid network combining transformer's core multi ...
Feature fusion network based on attention mechanism for 3D ...
Many researchers turned to use point clouds as input [3,5–. 8,10–12,16,18,25,26]because of the flaws of voxelized volumes and multi-view ...
Automatic classification of WBC images using deep feature fusion ...
... feature fusion network based on focalized attention mechanism. PLoS ONE 17(1): ... Based on the multi-class SVM, an efficient hierarchical blood cell ...
Remote sensing image semantic segmentation network based on ...
Then we will introduce the attention mechanism related to deep learning, and finally, we will introduce the related work of multi-scale feature fusion. 2.1.
A multi-scale feature fusion network-based fault diagnosis method ...
In the national situation that China is vigorously reducing the proportion of thermal power, wind energy is attracting attention as a clean ...
Multi-attention Feature Fusion Network for Lightweight Image Super
The channel attention mechanism and pixel attention mechanism ... The super-resolution reconstruction method based on convolutional neural network has been ...
396 - Attentional Feature Fusion - YouTube
This content isn't available. 396 - Attentional Feature Fusion. 1.3K views · 3 years ago ...more. ComputerVisionFoundation Videos. 39.9K.