Sentence examples for proposal generation from inspiring English sources

The proposed deep network consists of initial regional proposal generation and two key stages for image description generation.

The initial regional proposal generation is based upon the Region Proposal Network from the Faster R-CNN.

Aspects of protocol development and implementation including proposal generation, identification of primary and secondary endpoints, recruitment, masking, clinical site selection and management, intervention adherence, clinical data management, and statistical analysis are also discussed, providing guidelines for execution.

Due to the powerful feature extraction and representation capability of deep learning, the deep learning based region proposal generation and object detection integrated framework has greatly promoted the performance of multi-class geospatial object detection for HSR remote sensing imagery.

Term projects introduce students to large-scale system development with several areas of emphasis, including idea generation, concept development and refinement, system-level thinking, briefing development and presentation, and proposal generation.

The dilemma between translation-invariance in the classification stage and translation-variance in the object detection stage has not been addressed for HSR remote sensing imagery, and causes position accuracy problems for multi-class geospatial object detection with region proposal generation and object detection.

In this paper, we propose three overlapping services including intelligent matching of partners, proposal generations, and long-term contract management.

Lung nodule proposals generation is the primary step of lung nodule detection and has received much attention in recent years.

Firstly, we train the 3D CNN model with data in different resolutions and find out that models trained by high resolution input data achieve better lung nodule proposals generation performances especially for nodules in too small sizes, while consumes much more memory at the same time.

The Neuroimaging Sciences Training Program NISTPP) in Addiction trains scientists in technological aspects of data acquisition and analysis, clinical and biological fundamentals in areas of interest to each trainee as related to substance abuse and dependence, development of research proposals, and generation of documentation to navigate today's administrative requirements for imaging research.

General Purpose: The NISTP trains scientists in technological aspects of data acquisition and analyses, clinical and biological fundamentals in areas of interest to each trainee, development of research proposals, and generation of documentation to navigate today's administrative requirements for imaging research.