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Found 5 papers, 2 papers with code
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
Traditional multi-view stereo (MVS) methods rely heavily on photometric and geometric consistency constraints, but newer machine learning-based MVS methods check geometric consistency across multiple source views only as a post-processing step.
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A Computational Model of Early Word Learning from the Infant's Point of View
Human infants have the remarkable ability to learn the associations between object names and visual objects from inherently ambiguous experiences.
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Inspired by the remarkable ability of the infant visual learning system, a recent study collected first-person images from children to analyze the `training data' that they receive.
Multiview RGB-D Dataset for Object Instance Detection
This paper presents a new multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset.
Reinforcement Learning for Semantic Segmentation in Indoor Scenes
Future advancements in robot autonomy and sophistication of robotics tasks rest on robust, efficient, and task-dependent semantic understanding of the environment.
