Self-Attention Multilayer Feature Fusion Based on Long Connection
Feature fusion is an important part of building high-precision convolutional neural networks. In the field of image classification, though widely used in processing multiscale features of the same layer and short connections in the same receptive field, feature fusion is rarely used in long connecti...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2022/9973814 |
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