Search Results for author: Patrick Feeney

Found 4 papers, 2 papers with code

SINCERE: Supervised Information Noise-Contrastive Estimation REvisited

1 code implementation25 Sep 2023 Patrick Feeney, Michael C. Hughes

The information noise-contrastive estimation (InfoNCE) loss function provides the basis of many self-supervised deep learning methods due to its strong empirical results and theoretic motivation.

Transfer Learning

NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds

2 code implementations23 Jun 2022 Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Li-Ping Liu, Matthias Scheutz, Michael C. Hughes

In order for artificial agents to successfully perform tasks in changing environments, they must be able to both detect and adapt to novelty.

Novelty Detection

Evaluating the Use of Reconstruction Error for Novelty Localization

no code implementations28 Jul 2021 Patrick Feeney, Michael C. Hughes

The pixelwise reconstruction error of deep autoencoders is often utilized for image novelty detection and localization under the assumption that pixels with high error indicate which parts of the input image are unfamiliar and therefore likely to be novel.

Novelty Detection

4-D Scene Alignment in Surveillance Video

no code implementations4 Jun 2019 Robert Wagner, Daniel Crispell, Patrick Feeney, Joe Mundy

Designing robust activity detectors for fixed camera surveillance video requires knowledge of the 3-D scene.

Camera Calibration

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