Feature fusionAttention moduleThe task of instance segmentation is widely acknowledged as being one of the most formidable challenges in the field of computer vision. Current methods have low utilization of boundary information, especially in dense scenes with occlusion and complex shapes of object ...
To reduce the gap, we propose a novel Pedestrian cm-ReID model called Global–Local Specific Feature Fusion (GLSFF) to integrate the person features extracted by backbone network. It contains the Global Feature Fusion Module (GFFM) and the Local Feature Fusion Module (LFFM). LFFM and GFFM...
gloabl feature就是比较传统的表征提取方法,然后使用GeM. 这里在后来的探索中,发现可以使用GeM plus方法进行改进,详见super global那篇文章。 提取到两种feature之后,使用正交的融合方法来对两种表征进行融合。 正交融合的方法设计: local表征,提取出和global feature垂直的部分,然后和glabel feature做concat,然后在用pool...
weighted feature pyramid (BiFPN) feature fusion structure in the neck network to reduce the loss of shallow information and improve model accuracy; (4) We introduce a ConvMixer module with large kernel depth separable convolution and pointwise convolution and combine it with the C3 module. A...
Then the pyramid feature fusion module is used to fuse these features into five resolutions through some efficient dense skip connections. Finally, the global context attention module is applied to the fusion feature maps of adjacent resolution, which allows effective information propagate from low-...
Therefore, we exploit the advantages of both methods to design two kinds of cross-modal feature fusion modules. To reduce the computational complexity of the model, we design a multi-scale awareness fusion module (MAFM) to fully leverage the rich textural information and edge information in low-...
Benefit from high-level nutritional analysis and a query feature in the food library, to see which nutrients you're consuming.11 Smart Suggestions Fit for You An all-new smart suggestions feature recommends sports and activities to try out, based on workout habits, calorie consumption, and even...
Near-duplicate video detection methods based on global feature is running fast but with low accuracy, on the contrary, methods based on local feature is accurate, but the calculation is large and time-consuming. Therefore, a near-duplicate video detection algorithm combining global GSP feature and...
3D medical image segmentationDenoising diffusion modelFuzzy learningIterative attention feature fusionU-Net networkIn recent years, the denoising diffusion model ... W Ding,S Geng,H Wang,... - 《Information Fusion》 被引量: 0发表: 2024年 GASA-UNet: Global Axial Self-Attention U-Net for 3D Me...
SVM aims to find a hyperplane or hypersurface that best separates the data in the feature space with support vectors representing the soft margins. The non-linear dual formulation of SVM makes use of LaGrange multipliers and non-linear kernel functions (which can also be represented by semi-defin...