Segmentation Evaluation Metrics
Segmentation Evaluation Metrics is a methodological framework that quantifies the accuracy and effectiveness of text segmentation algorithms by comparing their output against ground truth partitions using specialized coherence, boundary detection, and similarity measures.
362
Publications
24.5K
Citations
1.5K
Authors
657
Institutions
Publications per year
2017–2026
176
Parents
362
A survey on evaluation methods for image segmentation
Y.J. Zhang · Pattern Recognition · 1996 · 1.1K citations
1Salient Object Detection: A Survey
2016 · 789 citations
Salient object detection: A survey
Computational Visual Media · 2019 · 497 citations · Full text
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National Centre of Scientific Research "Demokritos", Greece
10 publications · 631 citations
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National Centre of Scientific Research "Demokritos", Greece
6 publications · 456 citations
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657
National Centre of Scientific Research "Demokritos"
Athens, Greece
8 h-index
19 publications
1.5K citations
Institute of Informatics & Telecommunications
Agia Paraskevi, Greece
7 h-index
18 publications
1.4K citations
National University of Singapore
Singapore, Singapore
6 h-index
17 publications
868 citations
University of Bern
Bern, Switzerland
6 h-index
21 publications
2.9K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
14 publications
426 citations

Delft University of Technology
Delft, The Netherlands
5 h-index
7 publications
180 citations

Imperial College London
London, United Kingdom
5 h-index
20 publications
1.8K citations

University of British Columbia
Vancouver, Canada
5 h-index
8 publications
1K citations
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Repository · 17 publications · 480 citations
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11 publications · 369 citations
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10 publications · 557 citations
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6 publications · 608 citations
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6 publications · 396 citations
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