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Found 4 papers, 2 papers with code
SINCERE: Supervised Information Noise-Contrastive Estimation REvisited
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.
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
In order for artificial agents to successfully perform tasks in changing environments, they must be able to both detect and adapt to novelty.
Evaluating the Use of Reconstruction Error for Novelty Localization
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.
4-D Scene Alignment in Surveillance Video
Designing robust activity detectors for fixed camera surveillance video requires knowledge of the 3-D scene.
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