Outdoor Scene Classification
Outdoor Scene Classification is a subfield of scene classification in computer vision that specifically involves the categorization of images or visual data into predefined semantic classes based on the dominant outdoor environment depicted, such as forests, urban streets, or beaches, thereby distinguishing it from indoor or mixed-scene classification tasks.
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2017–2026
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Multi-label output codes using canonical correlation analysis
Two-Class Weather Classification
Scene Classification Using Bag-of-Regions Representations
Demir Gokalp, Selim Aksoy · 2007 · 91 citations
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Kodak (Japan)
Tokyo, Japan
5 h-index
5 publications
159 citations

University of Rochester
Rochester, United States
4 h-index
5 publications
164 citations
University of Southern California
Los Angeles, United States
3 h-index
5 publications
1.1K citations
Rochester Institute of Technology
Rochester, United States
3 h-index
4 publications
42 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
3 publications
269 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
269 citations

Rose–Hulman Institute of Technology
Terre Haute, United States
2 h-index
2 publications
40 citations
California Southern University
Chandler, United States
2 h-index
3 publications
1.1K citations
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3 publications · 107 citations
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Conference · 2 publications · 54 citations
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TPAMI · 2 publications · 594 citations
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1 publications · 13 citations
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GRSL · 1 publications · 13 citations
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