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FathomNet: A global image database for enabling artificial intelligence
  in the ocean

FathomNet: A global image database for enabling artificial intelligence in the ocean

29 September 2021
K. Katija
E. Orenstein
B. Schlining
L. Lundsten
K. Barnard
Giovanna Sainz
O. Boulais
M. Cromwell
Erin R Butler
Benjamin Woodward
K. L. Bell
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Papers citing "FathomNet: A global image database for enabling artificial intelligence in the ocean"

12 / 12 papers shown
Title
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
Kazi Sajeed Mehrab
M. Maruf
Arka Daw
Harish Babu Manogaran
Abhilash Neog
...
Paula Mabee
Wasila Dahdul
Anuj Karpatne
Wasila M Dahdul
Anuj Karpatne
120
4
0
10 Jul 2024
BenthicNet: A global compilation of seafloor images for deep learning applications
BenthicNet: A global compilation of seafloor images for deep learning applications
Scott C. Lowe
B. Misiuk
Isaac Xu
Shakhboz Abdulazizov
A. R. Baroi
...
Jordan A. Thomson
Brittany R. Wilson
Melisa C. Wong
Craig J. Brown
Thomas Trappenberg
72
3
0
08 May 2024
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
141
1,406
0
14 Dec 2020
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
88
541
0
01 Jul 2020
FathomNet: An underwater image training database for ocean exploration
  and discovery
FathomNet: An underwater image training database for ocean exploration and discovery
O. Boulais
Benjamin Woodward
B. Schlining
L. Lundsten
K. Barnard
K. L. Bell
K. Katija
95
14
0
30 Jun 2020
From ImageNet to Image Classification: Contextualizing Progress on
  Benchmarks
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Andrew Ilyas
Aleksander Madry
42
132
0
22 May 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSL
VLM
35
164
0
20 Feb 2020
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Kotaro Hara
Abigail Adams
Kristy Milland
Saiph Savage
Chris Callison-Burch
Jeffrey P. Bigham
30
439
0
14 Dec 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
138
8,309
0
06 Nov 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
242
43,290
0
01 May 2014
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