In response to these challenges, a novel anomaly recognition approach, termed Multi-Domain Feature Fusion (MDFF), is proposed. In this method, temporal features are initially captured using a Gated Recurrent Unit (GRU) network. Subsequently, the characteristics of the frequency domain are extracted...
In this paper, we propose a multidomain feature fusion for varying speed bearing diagnosis using BLS. The diagnostic power of the method is attributable to two features: First, we extract the intrinsic vibration characteristics at multiple speeds. A multidomain fusion is adopted to realize the uni...
A novel, multi-modal feature fusion based framework is prosed to obtain an effective representation for each superpixel annotation. The framework consists of four sequential modules (Fig. 2): 1) a double-channel (including both shallow and deep modality) based, low-level feature extraction; 2...
including two sub-networks: a Temporal Alignment Network (TAN) fTAN and a Modulative Feature Fusion Network (MFFN) fMFFN . fTAN 接受参考框架 ILRt 和一个支撑框架 ILRt+i 作为输入,并将对应支撑框架的对齐特征 F~t+i 估计为,,然后,支撑框架的所有对齐特征连接为 受[33] 中的空间特征变换 (SFT—...
The multi-modal feature fusion (MFF) module fuses the features extracted by SFE and TFE in parallel into MSTF to obtain more comprehensive feature information. A Light ResNet is designed based on the idea of residuals and depth-separable convolution. Compared to the traditional ResNet18, its ...
这些模块帮助我们提取更多信息丰富的特征,并有效地利用不同模态特征之间的互补性。 思维导图 参考文献: [1] Zhang D, Chen J, Liao X, et al. Face Forgery Detection via Multi-Feature Fusion and Local Enhancement[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024....
Attention-based Multi-level Feature Fusion for Named Entity Recognition | Request PDF Abstract 命名实体识别是自然语言处理领域的一项基础性工作。近年来,表示学习方法(如字符嵌入和单词嵌入)取得了很好的识别效果。然而,现有的模型只考虑来自单词或字符的部分特征,而未能从多层次的角度整合语义和句法信息(如大写、词...
Dynamic estimation of summer maize LAI based on multi-feature fusion of UAV imagery doi:10.11975/j.issn.1002-6819.202407092unmanned aerial vehicleleaf area indexvegetation indexnormalised relative canopy temperaturecanopy morphological parametersLeaf Area Index (LAI) is one of the most crucial influencing ...
Separate Fully Connected Layer (SFC) is used for the feature mapping in the Encoding and Fusion stage. "独立全连接层"这个术语表明可能存在多个全连接层的实例,并且它们被保持独立或分开以用于特定目的。这可能意味着不同的特征子集或表示通过独立的全连接层进行处理。 消融实验 看图即可 对空间融合模块(Spatia...
原文: Attention-based Multi-level Feature Fusion for Named Entity RecognitionAbstract命名实体识别(NER)是自然语言处理(NLP)领域中的一项基本任务。最近,表示学习方法(例如,字符嵌入和单词嵌入)已经…