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A comprehensive review of deep learning-based crack detection approaches
The application of deep architectures inspired by the fields of artificial intelligence and
computer vision has made a significant impact on the task of crack detection. As the number …
computer vision has made a significant impact on the task of crack detection. As the number …
A comprehensive review of modern object segmentation approaches
Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …
class labels. It has a wide range of applications in many industries including healthcare …
Scenegraphfusion: Incremental 3d scene graph prediction from rgb-d sequences
Scene graphs are a compact and explicit representation successfully used in a variety of 2D
scene understanding tasks. This work proposes a method to build up semantic scene …
scene understanding tasks. This work proposes a method to build up semantic scene …
Fusion++: Volumetric object-level slam
We propose an online object-level SLAM system which builds a persistent and accurate 3D
graph map of arbitrary reconstructed objects. As an RGB-D camera browses a cluttered …
graph map of arbitrary reconstructed objects. As an RGB-D camera browses a cluttered …
Volumetric instance-aware semantic map** and 3D object discovery
To autonomously navigate and plan interactions in real-world environments, robots require
the ability to robustly perceive and map complex, unstructured surrounding scenes. Besides …
the ability to robustly perceive and map complex, unstructured surrounding scenes. Besides …
JSIS3D: Joint semantic-instance segmentation of 3D point clouds with multi-task pointwise networks and multi-value conditional random fields
Deep learning techniques have become the to-go models for most vision-related tasks on
2D images. However, their power has not been fully realised on several tasks in 3D space …
2D images. However, their power has not been fully realised on several tasks in 3D space …
PlantNet: A dual-function point cloud segmentation network for multiple plant species
D Li, G Shi, J Li, Y Chen, S Zhang, S **, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
Deep learning based 3D segmentation: A survey
3D segmentation is a fundamental and challenging problem in computer vision with
applications in autonomous driving and robotics. It has received significant attention from the …
applications in autonomous driving and robotics. It has received significant attention from the …
Automated digital modeling of existing buildings: A review of visual object recognition methods
Digital building representations enable and promote new forms of simulation, automation,
and information sharing. However, creating and maintaining these representations is …
and information sharing. However, creating and maintaining these representations is …