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Comparison among common backbone networks on the ImageNet-1k dataset.

Comparison among common backbone networks on the ImageNet-1k dataset.

<p>Comparison among common backbone networks on the ImageNet-1k dataset.</p>

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Bibliographic Details
Main Author: Zhuolin Yang (14658411) (author)
Other Authors: Zhen Cao (30837) (author), Jianfang Cao (1881379) (author), Zhiqiang Chen (218692) (author), Cunhe Peng (20454990) (author)
Published: 2024
Subjects:
Medicine
Science Policy
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
segmentation effect achieved
resulting segmentation accuracy
pixel classification process
experimental results show
deep supervision layers
convolutional layer deepens
edge segmentation effect
spatial detail information
edge optimization module
category perception module
express edge features
edge optimization
edge features
redundant information
effective information
connect features
xlink ">
significantly lower
proposed method
methods fail
may cause
fully use
ecmnet ).
different scales
different resolutions
cityspaces dataset
camvid dataset
adaptive algorithm
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