In addition, a new Multi-Layer Features Fusion (MLFF) module is proposed to achieve complete and valid multi-layer decoding information for utilizing the hierarchical context of the MFF-Transformer model. Experiments on the MSCOCO dataset illustrate that our proposed MFF-Transformer can achieve good...
MFF-Trans: Multi-level Feature Fusion Transformer forFine-Grained Visual Classification doi:10.1007/978-981-97-2387-4_15In fine-grained visual classification, fusing both local and global information is crucial. However, current methods based on vision transformer tend to just focus on selecting ...
Have Reported New Data on Networks (Mff-saug: Multi Feature Fusion With Spectrogram Augmentation of Speech Emotion Recognition Using Convolution Neural Network... - 《Network Daily News》 被引量: 0发表: 2022年来源期刊 Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science,...
Therefore, the module that completes the extraction first needs to wait for the other module to complete its operation before being input into the MFF layer for feature fusion. Experiments have shown that the TFE module runs faster, and the extracted temporal features need to be stored in ...
Then it goes through a graph convolution module ViG27 for feature convergence. Next is the MSDF module. This module consists of a multi-scale feature extraction (MFE) module, a multi-feature fusion (MFF) module, and a convolutional layer. MSDF module is capable of extracting feature ...
It is worth noting that due to the use of 1 × 1 convolution kernels and the control of the number of feature channels, the quantity of parameters in our network is limited within a certain range. As a result, our method can complete the fusion task at a high speed, which is about ...
Table 3. Multilevel feature fusion ablation test. From Table 2, we can see that even if only the class token of the fourth layer is used for the final classification, an accuracy rate of more than 68% can be achieved, which means that the class token of this layer has features that...
Alsulami, N.; Althobaiti, H.; Alafif, T. MV-MFF: Multi-View Multi-Feature Fusion Model for Pneumonia Classification.Diagnostics2024,14, 1566. https://doi.org/10.3390/diagnostics14141566 AMA Style Alsulami N, Althobaiti H, Alafif T. MV-MFF: Multi-View Multi-Feature Fusion Model for Pneu...
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We propose a novel multi-level feature fusion convolutional neural network (CNN) for facial depth map refinement named MFFNet. It is a multi-stage network, where each stage is a local multi-level feature fusion (LMLF) block. For smoothing the noise as well as boosting detailed facial ...