Automatic pixel-level detection of vertical cracks in asphalt pavement based on GPR investigation and improved mask R-CNN
Non-destructive testing and characterization of internal vertical cracks are critical for road
maintenance by ground penetrating radar (GPR). This paper describes a mask region …
maintenance by ground penetrating radar (GPR). This paper describes a mask region …
Neural thompson sampling
Thompson Sampling (TS) is one of the most effective algorithms for solving contextual multi-
armed bandit problems. In this paper, we propose a new algorithm, called Neural Thompson …
armed bandit problems. In this paper, we propose a new algorithm, called Neural Thompson …
Automatic pixel‐level crack detection with multi‐scale feature fusion for slab tracks
Cracks are common defects in slab tracks, which can grow and expand over time, leading to
a deterioration of the mechanical properties of slab tracks and shortening service life …
a deterioration of the mechanical properties of slab tracks and shortening service life …
HMDB: a large video database for human motion recognition
With nearly one billion online videos viewed everyday, an emerging new frontier in
computer vision research is recognition and search in video. While much effort has been …
computer vision research is recognition and search in video. While much effort has been …
Real-time railroad track components inspection based on the improved YOLOv4 framework
Abstract According to the Federal Railroad Administration (FRA) database, track component
failure is one of the major factors causing train accidents. To improve railroad safety and …
failure is one of the major factors causing train accidents. To improve railroad safety and …
Shapenet: An information-rich 3d model repository
We present ShapeNet: a richly-annotated, large-scale repository of shapes represented by
3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic …
3D CAD models of objects. ShapeNet contains 3D models from a multitude of semantic …
Efficiently scaling up crowdsourced video annotation: A set of best practices for high quality, economical video labeling
We present an extensive three year study on economically annotating video with
crowdsourced marketplaces. Our public framework has annotated thousands of real world …
crowdsourced marketplaces. Our public framework has annotated thousands of real world …
Intelligent monitoring of spatially-distributed cracks using distributed fiber optic sensors assisted by deep learning
Distributed fiber optic sensors (DFOSs) offer unique capabilities for crack monitoring via
measuring strain distributions. However, manually interpreting strain distributions is labor …
measuring strain distributions. However, manually interpreting strain distributions is labor …
Efficient railway track region segmentation algorithm based on lightweight neural network and cross-fusion decoder
To segment railway track regions in real-time for intrusion detection and improving security,
this paper proposes an efficient railway track region segmentation network (ERTNet) based …
this paper proposes an efficient railway track region segmentation network (ERTNet) based …
Scene recognition with cnns: objects, scales and dataset bias
Since scenes are composed in part of objects, accurate recognition of scenes requires
knowledge about both scenes and objects. In this paper we address two related problems …
knowledge about both scenes and objects. In this paper we address two related problems …