O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Deep Evidential Uncertainty Estimation for Semantic Segmentation under Out-Of-Distribution Obstacles
Abstract: In order to navigate safely and reliably in novel environments, robots must estimate perceptual uncertainty when confronted with out-of-distribution (OOD) obstacles not seen in training data ...
Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
Abstract: The age of information metric fails to correctly describe the intrinsic semantics of a status update. In an intelligent reflecting surface-aided cooperative relay communication system, we ...
This type of language can be either objective or subjective. Objective language includes making verifiable statements. Some ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
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