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Shenghui Fang

3 papers hereh-index 283.7k citations87 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

most citedUNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery

1.3k citations · 2k across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2021★ 244 cited

Building extraction with vision transformer

Libo Wang, Shenghui Fang, Rui Li +1

As an important carrier of human productive activities, the extraction of buildings is not only essential for urban dynamic monitoring but also necessary for suburban construction…

cs.CV2021★ 1.3k cited

UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery

Libo Wang, Rui Li, Ce Zhang +4

Semantic segmentation of remotely sensed urban scene images is required in a wide range of practical applications, such as land cover mapping, urban change detection, environmental…

cs.CV2021★ 415 cited

A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images

Libo Wang, Rui Li, Chenxi Duan +3

The fully convolutional network (FCN) with an encoder-decoder architecture has been the standard paradigm for semantic segmentation. The encoder-decoder architecture utilizes an en…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.