Feature pyramid network with multi-scale prediction fusion for real-time semantic segmentationToan Van Quyen a EnvelopeMin Young Kim a b Person EnvelopeNeurocomputing
Soft-RoI selection is applied to acquire more effective RoI features from various pyramid levels and generate an improved RoI feature following position enhancement and classification. The study evaluated the proposed model using standard metrics on the fusion of a global dataset, which gives precision,...
2. Although feature pyramids efficiently exploit features from all the layers in the network, they are not an attractive alternative to an image pyramid for detecting very small/large objects. 3. 多尺度图像分类 本节研究的是domain shift:训练和预测的输入是不同分辨率的图像。 我们之所以进行这种分析,...
The image feature pyramid in our model is used to encode the image features at different spatial resolutions. Through it, we can obtain the image representations of different frequency bands. Specifically, we design a multi-scale residual convolutional network with multiple resolution branches. These ...
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 channel and...
作者提了Multi-Scale and Multi-Stream Deep Feature Learning,可以参考,但是感觉不全。 2. Method 主要创新点: 1)设计了Omni-Scale Residual Block,本质就是加权版多尺度特征融合,Inception升级版。 2)使用了Depthwise Separable Convolutions,成了lightweight network。网络...
Combined with Feature Pyramid Network (FPN), features can be effectively extracted at different scales. The pyramid structure of FPN allows the network to focus on targets of different scales at different levels. This design can use fewer parameters to capture multi-scale information in the image,...
·We propose MAEG-Net, a multi-scale adaptive feature fusion network based on edge-guidance, to mitigate the effects of large tumor size variations and ambiguous boundary regions in segmentation tasks. ·An advanced adaptive feature fusion module is proposed to enhance the multi-scale expression ab...
Using Feature Pyramid Network (FPN) as the backbone network is a very popular paradigm in existing object detectors, we call this paradigm FPN+. However, feature fusion of FPN is insufficient to express object of similar size but different appearance due to the unidirectional feature fusion. We ...
In this section, we elaborate each component of the network, including the feature aggregation pyramid network, the two-stage ESA, and the mask-based hand-specific region learning branch. Experiments In this section, we conduct several comparative experiments on two public datasets, including the ...