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ORCIDEric C. Orenstein
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Books and Theses
- 2018
[b1]Eric C. Orenstein:
Automated analysis of oceanographic image data. University of California, San Diego, USA, 2018
Conference and Workshop Papers
- 2023
- [c3]Alison Crosby
, Eric Coughlin Orenstein, Susan E. Poulton, Katherine L. C. Bell, Benjamin G. Woodward, Henry Ruhl, Kakani Katija, Angus G. Forbes:
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation. CHI 2023: 535:1-535:16 - 2021
- [c2]Joseph L. Walker, Eric C. Orenstein:
Improving Rare-Class Recognition of Marine Plankton with Hard Negative Mining. ICCVW 2021: 3665-3675 - 2017
- [c1]Eric C. Orenstein, Oscar Beijbom:
Transfer Learning and Deep Feature Extraction for Planktonic Image Data Sets. WACV 2017: 1082-1088
Informal and Other Publications
- 2023
- [i4]Alison Crosby, Eric C. Orenstein, Susan E. Poulton, Katherine L. C. Bell, Benjamin G. Woodward, Henry Ruhl, Kakani Katija, Angus G. Forbes:
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation. CoRR abs/2303.05480 (2023) - [i3]Eric C. Orenstein, Kevin Barnard, Lonny Lundsten, Genevieve Patterson, Benjamin G. Woodward, Kakani Katija:
The FathomNet2023 Competition Dataset. CoRR abs/2307.08781 (2023) - 2021
- [i2]Kakani Katija, Eric C. Orenstein, Brian Schlining, Lonny Lundsten, Kevin Barnard, Giovanna Sainz, Oceane Boulais, Benjamin G. Woodward, Katy Croff Bell:
FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean. CoRR abs/2109.14646 (2021) - 2015
- [i1]Eric C. Orenstein, Oscar Beijbom, Emily E. Peacock, Heidi M. Sosik:
WHOI-Plankton- A Large Scale Fine Grained Visual Recognition Benchmark Dataset for Plankton Classification. CoRR abs/1510.00745 (2015)
Coauthor Index
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