Material Segmentation
Material Segmentation is a methodological contribution in the field of computer vision that partitions a digital image or 3D scene into distinct regions corresponding to individual materials or surface types, differentiating itself from general semantic segmentation by focusing specifically on material properties rather than object or shape boundaries.
152
Publications
5.8K
Citations
658
Authors
291
Institutions
Publications per year
2017–2026
102
152
Segmentation of the Farallon slab
Lijun Liu, D. R. Stegman · Earth and Planetary Science Letters · 2011 · 135 citations
1–5 of 152
658
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Lawrence Berkeley National Laboratory, United States
3 publications · 81 citations
3
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1–5 of 658
291

Centre National de la Recherche Scientifique
Paris, France
6 h-index
16 publications
502 citations
RWTH Aachen University
Aachen, Germany
5 h-index
10 publications
235 citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
288 citations

Universidade Federal do Ceará
Fortaleza, Brazil
4 h-index
6 publications
365 citations
Institute of Mechanical Engineering and Industrial Mangement
Porto, Portugal
4 h-index
6 publications
481 citations
University of California, Irvine
Irvine, United States
4 h-index
9 publications
488 citations

École Nationale Supérieure des Mines de Paris
Paris, France
4 h-index
11 publications
314 citations
Institut polytechnique de Grenoble
Grenoble, France
3 h-index
9 publications
231 citations
1–8 of 291
6 publications · 265 citations
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4 publications · 83 citations
4
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3 publications · 117 citations
3
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3 publications · 225 citations
3
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Conference · 3 publications · 199 citations
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