Search Results for author: Benjamin Woodward

Found 3 papers, 2 papers with code

The FathomNet2023 Competition Dataset

1 code implementation17 Jul 2023 Eric Orenstein, Kevin Barnard, Lonny Lundsten, Geneviève Patterson, Benjamin Woodward, Kakani Katija

Creating models that are able to recognize when an image or video sequence contains a new organism, an unusual collection of animals, or is otherwise out-of-sample is critical to fully leverage visual data in the ocean.

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

1 code implementation29 Sep 2021 Kakani Katija, Eric Orenstein, Brian Schlining, Lonny Lundsten, Kevin Barnard, Giovanna Sainz, Oceane Boulais, Megan Cromwell, Erin Butler, Benjamin Woodward, Katy Croff Bell

The ocean is experiencing unprecedented rapid change, and visually monitoring marine biota at the spatiotemporal scales needed for responsible stewardship is a formidable task.

Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection

no code implementations1 Dec 2017 Onur Ozdemir, Benjamin Woodward, Andrew A. Berlin

Motivated by the problem of computer-aided detection (CAD) of pulmonary nodules, we introduce methods to propagate and fuse uncertainty information in a multi-stage Bayesian convolutional neural network (CNN) architecture.

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