Preprint Highlight: Learning orientation-invariant representations enables accurate and robust morphologic profiling of cells and organelles
Sign Up to like & getrecommendations! Published in 2023 at "Molecular Biology of the Cell"
DOI: 10.1091/mbc.p23-04-0013
Abstract: One application of deep learning in analysis of cell biological microscopy data is developing meaningful quantitative representations of cellular and/or molecular phenotypic signatures. Because image orientation has no relevance for shape and morphology, encoding orientation… read more here.
Keywords: preprint highlight; invariant representations; learning orientation; orientation invariant ... See more keywords
Self-Supervised Learning for Invariant Representations From Multi-Spectral and SAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3204888
Abstract: Self-supervised learning (SSL) has become the new state of the art in several domain classification and segmentation tasks. One popular category of SSL are distillation networks, such as Bootstrap Your Own Latent (BYOL). This work… read more here.
Keywords: invariant representations; supervised learning; feature; self supervised ... See more keywords
Negation Invariant Representations of 3-D Vectors for Deep Learning Models Applied to Fault Geometry Mapping in 3-D Seismic Reflection Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3273329
Abstract: We can represent the orientation of a plane in 3-D by its normal vector. However, every plane has two normal vectors that are negatives of each other. We propose four novel representations of vectors in… read more here.
Keywords: representations vectors; invariant representations; negation invariant; geometry ... See more keywords
Eye movement-invariant representations in the human visual system
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DOI: 10.1167/17.1.11
Abstract: During natural vision, humans make frequent eye movements but perceive a stable visual world. It is therefore likely that the human visual system contains representations of the visual world that are invariant to eye movements.… read more here.
Keywords: eye movements; eye movement; invariant representations; movement invariant ... See more keywords
Invariant representations of mass in the human brain
Sign Up to like & getrecommendations! Published in 2019 at "eLife"
DOI: 10.7554/elife.46619
Abstract: An intuitive understanding of physical objects and events is critical for successfully interacting with the world. Does the brain achieve this understanding by running simulations in a mental physics engine, which represents variables such as… read more here.
Keywords: physics; mass human; human brain; invariant representations ... See more keywords