This paper introduces a novel deep learning-based artificial intelligence framework that integrates the Multiscale Self-Attention Guidance and Feature Fusion Network with the You Only Look Once model, tailored explicitly for artificial intelligence-driven unmanned aerial vehicle-based infrared thermal image ...
论文阅读《Self-Attention Guidance and Multiscale Feature Fusion-Based UAV Image Object Detection》 Tywwhale 1 人赞同了该文章 摘要 无人机(UAV)图像的目标检测是近年来研究的热点。现有的目标检测方法在一般场景上取得了很好的结果,但无人机图像存在固有的挑战。无人机图像的检测精度受到复杂背景、显著尺度差异...
位于第5层至第13层和第16层的self-attention blocks Figure 2 3.2.1 (1) Self-attention Block 本文的self-attention其实用的就是MViT中的pooling attention。 每一个block都对应于一个特定的视图,如Fig 2. (b)所示,左右两个self-attention block,分别用于处理view 1和view 2。并且每个视图都使用多头 Poolin...
The Attention Multi-scale Sensing Module (AMSM) is designed to localize WBCs more accurately by fusing features at different scales and enhancing feature representation through a self-attention mechanism. The Cross-Deformation Convolution Module (CDCM) reduces feature correlation, aiding the model in ...
Melanoma segmentation based on a convolutional neural network (CNN) has recently attracted extensive attention. However, the features captured by CNN are always local that result in discontinuous fea...
The position-aware patches are now passed through a transformer block which consists of normalization, multi-headed self attention, and multi-layer perceptions. The multi-headed self-attention mechanism allows every patch to attend to every other patch, enabling global context awareness. The ViT ...
Multi-scale self-guided attention for medical image segmentation. IEEE J. Biomed. Health Inform. 25, 121–130. https://doi.org/10.1109/JBHI.2020.2986926 (2021). Article PubMed Google Scholar Khan, A. et al. A survey of the recent architectures of deep convolutional neural networks. Artif....
python deep-learning pytorch medical-imaging image-segmentation unsupervised-learning multiscale semantic-segmentation miccai medical-image-segmentation self-supervised-learning unsupervised-deep-learning unsupervised-segmentation multiscale-segmentation miccai2024 miccai-2024 Updated Oct 8, 2024 Python buttom...
Unlike existing rule- and conventional learning-based techniques, which hardly capture the location of tiny vessel structures and perceive their global spatial structures, we propose Simultaneous Self- and Channel-attention Neural Network (termed SSCA-Net) to solve the multiscale structure-preserving ...
Within scale attention。 对于backbone提取的多尺度特征,在每一个尺度内做self-attention。 Between scale attention。深层特征具有语义信息,而浅层特征具有细粒度信息。Between scale attention即将深层语义传递给浅层,具体做法为cross-attention,将浅层特征作为Q,深层特征作为KV。该attention不断在近邻两个尺度之间操作。