Code and raw data used in this study.

<div><p>In semantic image segmentation tasks, most methods fail to fully use the characteristics of different scales and levels but rather directly perform upsampling. This may cause some effective information to be mistaken for redundant information and discarded, which in turn causes o...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Zhuolin Yang (14658411) (author)
مؤلفون آخرون:	Zhen Cao (30837) (author), Jianfang Cao (1881379) (author), Zhiqiang Chen (218692) (author), Cunhe Peng (20454990) (author)
منشور في:	2024
الموضوعات:	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
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Code and raw data used in this study.

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