对比RGBN和RGBN-SAR在Deeplabv3+上的结果,可以看出只使用光学影像则无法利用SAR数据的辅助信息,导致混淆city和village,而采用输入层拼接的策略时又容易造成光学和SAR之间的数据干扰,MCANet提供了一种更好的方法处理多源数据融合问题。 PSCNN、MRSDC、V-FesuNet、MBFNet均低于Deeplabv3+,但作者并未述及这些方法是否使...
In order toimprove the segmentation results of the recently proposed comprehensive attention convolutional neural network(CA-Net) for skin lesions image segmentation, In this work, we propose a modified medical image segmentation network-modified comprehensive attention convolutional neural network (mCA-Net...
“Dixie Electric has been working with MCA for about 6 months now and it has been a wonderful experience. They seem to be able to help with all facets of our business. Their scheduling and productivity tools have been very helpful and the field guys are starting to understand the power of...
MCANet: Multi-encoder Context Aggregation Network This is an official site for MCANet model. Currently, we are uploading the output images and results here. Upon the acceptance of the paper, details will be provided. Datasets For this research work, we have used structured and unstructured datas...
MCANet(Multidimensional Collaborative Attention Network)是基于PyTorch实现的深度学习模型,专为图像识别任务设计。它引入了多维度协作注意力机制,允许网络在不同特征层之间进行信息交互,增强特征提取的灵活性和上下文理解。通过联合学习低级和高级特征,该模型能够捕捉到图像的复杂模式,同时注重区域和通道间的注意力结合,从而...
Tallinn var-mar.info https://orcid.org/0000-0001-5986-3239 @mcanet Achievements x2x2 Organizations Block or Report Popular repositories Loading knitic Public The open hardware knitting machine (at the moment based in electronic Brother knitting machines) Processing 217 57 STL-Volume-Mode...
该模型首先构建一种MCA(Max Convolution Activate)模块,使用大卷积核获取感受野,提高特征提取的能力;其次构建主干网络MCANet Block,在提升感受野的同时,降低模型的参数量和计算量;最后引入CA(Coordinate Attention)注意力机制获取火焰的位置信息。实验结果表明,基于Fire-MCANet的火焰模型的检测准确率达到95.75%,计算量仅有...
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