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Found 6 papers, 3 papers with code
Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers
Recent works show that the data distribution in a network's latent space is useful for estimating classification uncertainty and detecting Out-of-distribution (OOD) samples.
Object-Guided Day-Night Visual Localization in Urban Scenes
Direct matching of local features is sensitive to significant changes in illumination.
Image-Based Place Recognition on Bucolic Environment Across Seasons From Semantic Edge Description
It is built from the wavelet transforms of the image semantic edges.
ELF: Embedded Localisation of Features in pre-trained CNN
These results show that a CNN trained on a standard task embeds feature location information that is as relevant as when the CNN is specifically trained for feature detection.
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry
The core of our approach is a semantic nearest neighbor field that facilitates a robust data association of edges across frames using semantics.
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time
Deep learning generates state-of-the-art semantic segmentation provided that a large number of images together with pixel-wise annotations are available.
