This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, the study demonstrates how richer temporal feature extractions can enhance CNN models in classifying ...
To obtain more satisfactory prediction results, a Multi-Scale Feature Distribution (MSFD) module is proposed. The MSFD module allocates multi-level features by using multi-scale pooling and convolution operations on the feature maps output from the MSFA module, combines these feature maps with the...
Soft RoI Selection:更好地从图像金字塔中取出ROI Feature用于分类 将FasterRCNN中的FPN结构改成AugFPN,在ResNet50和MobileNet-v2上都有mAP提升 另外,AugFPN中与特征金字塔相关的改进点(也就是Consistent Supervision & Residual Feature Augmentation),在一些Anchor Based/ Anchor Free的One-stage方法中,也能获得提升 原...
所以小目标对应在低层级的feature mpa上获取特征,而大尺度目标在高层级feature map获取相应的特征,这样存在的问题就是这种单一的映射关系会导致两个尺度非常接近的目标被映射到了不同的特征层级上,并且这样其实对于单一个一个目标,其并没有享受到特征金字塔其它层级上带来的好处。
均质尺度和非均质尺度的特征都称为omni-scale features;omni可以翻译为“全方位,全面的”。 解决方法: 提出了Omni-Scale Network (OSNet),可以实现omni-scale feature learning;设计了一个residual block,包括多个卷积特征的分支,每一个分支可以检测到某一种尺度的特征;设计了一个aggregation gate用于多种尺度特征的融...
Abstract In order to improve the detection accuracy of the network, it proposes multi-scale feature fusion and attention mechanism net (MFANet) based on deep learning, which integrates pyramid module and channel attention mechanism effectively. Pyramid module is designed for feature fusion in the cha...
LFFNet: lightweight feature-enhanced fusion network for real-time semantic segmentation of road scenes Article05 March 2024 References Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and...
A novel multi-scale feature extraction method is presented based on the information entropy theory. Feature detection and compression are thus combined into an integrated optimization process. A series of optimal feature-spaces are constructed at varying values of the scale parameter and the best one...
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach 阿梁 3 人赞同了该文章 论文动机 (1)尽管hierarchical encoder中的transformer块在不同的阶段捕捉全局信息,但transformer块只处理patch merging后的特征层,该特征层使用单一的感受野的大小。因此,在每个阶段中没有适当地利用...
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...