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 ...
In this paper, we propose LGFF-YOLO, a detection model that integrates a novel local–global feature fusion method with the YOLOv8 baseline, specifically designed for small object detection in UAV imagery. Our innovative approach employs the Global Information Fusion Module (GIFM) and the Four-...
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...
Global feature-base multimodal semantic segmentation IntroductionThis is an introduction to the initial version of GFBN. GFBN is used for dual-branch multi-modal semantic segmentation. The author's main innovation lies in proposing the Cross-attention correction module and the feature fusion module ...
The official codes for ECCV 2024 Oral paper: 'DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment' Jiuming Liu, Dong Zhuo, Zhiheng Feng, Siting Zhu, Chensheng Peng, Zhe Liu, and Hesheng Wang ...
In this letter, a novel hierarchical fusion framework is proposed to address the imperfect data property in complex medical image analysis (MIA) scenes. In particular, by combining the strengths of convolutional neural networks (CNNs) and transformers, the enhanced feature extraction, spatial modeling...
Gesture image recognition method based on DC-Res2Net and a feature fusion attention module 2023, Journal of Visual Communication and Image Representation Citation Excerpt : Deep learning models are adopted to obtain good performance in image classification [22]. These accomplishments have prompted other...
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-...
This feature is only supported on certain HUAWEI MateBook with PC Manager version being 13.0.2.310 or above. These devices need to logged in to the same Huawei account, be connected to the same Wi-Fi network and have Bluetooth enabled. For more information, please contact Huawei customer servic...