Sentence examples for proposals generation from inspiring English sources

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 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.

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.

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.

Our work is based on two observations: (i) normed gradients, which are designed for generic objectness estimation, effectively generate high-quality detection proposals for the person category; (ii) fusing the normed gradients with color attributes improves the performance of proposal generation for human detection.

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 order to further improve the performance of the region proposal generation and object detection integrated framework for HSR remote sensing imagery object detection, a position-sensitive balancing (PSB) framework is proposed in this paper for multi-class geospatial object detection from HSR remote sensing imagery.

Focus on the top line: Start by solving a revenue problem (lead generation, CRM, proposal generation, etc).