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Found 4 papers, 1 papers with code
Detecting Anatomical and Functional Connectivity Relations in Biomedical Literature via Language Representation Models
Understanding of nerve-organ interactions is crucial to facilitate the development of effective bioelectronic treatments.
Simultaneous Localization and Mapping: Through the Lens of Nonlinear Optimization
This work presents an optimization-based framework that unifies these approaches, and allows users to flexibly implement different design choices, e. g., the number and types of variables maintained in the algorithm at each time.
Training Deep Neural Networks to Detect Repeatable 2D Features Using Large Amounts of 3D World Capture Data
We claim that in order to train detectors to work well in indoor environments, they must be robust to this type of geometry, and repeatable under true viewpoint change instead of homographies.
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks
We show for the first time that deep neural networks are capable of detecting loop closures, and we provide a method for generating large-scale datasets for use in evaluating and training loop closure detectors.
Loop Closure Detection
Simultaneous Localization and Mapping
