Cross-modality feature fusion for night pedestrian detectiondoi:10.3389/fphy.2024.1356248Yong FengEnbo LuoHai LuSuWei ZhaiYonghang TaiTaisong JinJie LiuFrontiers in Physics
Cross-Modality Person Re-identification Combined with Data Augmentation and Feature Fusion The difficulty of visible-infrared person re-identification problem lies in the large modal difference between images. Most existing methods alleviate the ... Y Song,B Wang,G Cao - 《Journal of Computer Enginee...
Cross-Modality Attentive Feature Fusion for Object Detection in Multispectral Remote Sensing Imagery - rubbish-qi/CMAFF
Cross-Modality Fusion Transformer for Multispectral Object Detection
Feature fusion 在获得每一层的特征映射后,我们构建了一个两阶段的特征融合模块(feature Fusion Module, FFM)来增强信息交互,并将两种模式的特征合并成一个单一的特征映射。如上图所示,在阶段1,两个分支仍然保持,并设计了交叉注意机制,在两个分支之间进行全局信息交换。然后,将这两个分支的输出连接起来。在第二阶段...
Feature fusionCross-modal correlationCross-modal information retrievalCross-modal information retrieval (CMIR) enables users to search for semantically relevant data of various modalities from a given query of one modality. The predominant challenge is to alleviate the "heterogeneous gap" between different...
To solve the depth noise problem, the cross-modal fusion networks [28], [29] combine features from other modalities in the spatial and channel dimensions and calibrate the features of the current modality at each stage of the network. That could achieve better multi-modal feature extraction and...
A new Multi-granularity Shared Feature Fusion (MSFF) network is proposed in this paper, which combines global and local features to learn different granularities representations of the two modalities, extracting multi-scale and multi-level features from the backbone network, where the coarse ...
图(b) - CFT特征可视化 (CFT Feature Visualization):这个图展示了经过CFT模块处理后的特征图。从图中可以看到,特征图变得更加平滑,亮度变化较小。这说明CFT模块在处理过程中进行了特征的提取与融合,去除了原始特征中的噪声或不重要的信息,仅保留了与检测任务相关的关键特征。 展示了原始特征与经过Cross-Modality Fu...
How to design an effective cross-modality fusion mechanism for maximum performance gain?(模态融合) Main innovations 首个将Transformer结构应用到多光谱目标检测的工作 提出一种简单有效的模态融合方法CFT 在VEDAI,LLVIP和FLIR数据集中取得了SOTA How