Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
Road extraction with satellite images and partial road maps
Road extraction is a process of automatically generating road maps mainly from satellite
images. Existing models all target to generate roads from the scratch despite that a large …
images. Existing models all target to generate roads from the scratch despite that a large …
[HTML][HTML] Weakly supervised road network extraction for remote sensing image based scribble annotation and adversarial learning
G Yuan, J Li, X Liu, Z Yang - Journal of King Saud University-Computer and …, 2022 - Elsevier
Performing accurate road extraction from remote sensing images has great practical
importance. Nevertheless, the accuracy of segmentation can be seriously affected by …
importance. Nevertheless, the accuracy of segmentation can be seriously affected by …
[HTML][HTML] Improving road surface area extraction via semantic segmentation with conditional generative learning for deep inpainting operations
The road surface area extraction task is generally carried out via semantic segmentation
over remotely-sensed imagery. However, this supervised learning task is often costly as it …
over remotely-sensed imagery. However, this supervised learning task is often costly as it …
ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture
Background Deep learning methods have outperformed previous techniques in most
computer vision tasks, including image-based plant phenotyping. However, massive data …
computer vision tasks, including image-based plant phenotyping. However, massive data …
Affordable and robust phenotyping framework to analyse root system architecture of soil‐grown plants
T Bontpart, C Concha, MV Giuffrida… - The Plant …, 2020 - Wiley Online Library
The phenotypic analysis of root system growth is important to inform efforts to enhance plant
resource acquisition from soils; however, root phenotyping remains challenging because of …
resource acquisition from soils; however, root phenotyping remains challenging because of …
Plant Data Generation with Generative AI: An Application to Plant Phenotyping
S Bhugra, S Srivastava, V Kaushik… - … of Generative AI, 2024 - Springer
Plant phenotyping is the study of plants' physiological, morphological and biochemical traits
resulting from their interaction with the environment. These traits (eg, leaf area, leaf count …
resulting from their interaction with the environment. These traits (eg, leaf area, leaf count …
Traffic data augmentation with deep learning
Q Xu - 2024 - dr.ntu.edu.sg
The transition to smart cities entails the integration of advanced technologies, data-driven
solutions, and innovative urban planning strategies. By harnessing the potential of …
solutions, and innovative urban planning strategies. By harnessing the potential of …
Contribution to Object Extraction in Cartography: A Novel Deep Learning-Based Solution to Recognise, Segment and Post-Process the Road Transport Network as a …
CI Cira - 2022 - oa.upm.es
Remote sensing imagery combined with deep learning strategies is often regarded as an
ideal solution for interpreting scenes and monitoring infrastructures with remarkable …
ideal solution for interpreting scenes and monitoring infrastructures with remarkable …
ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture
Background: Deep learning methods have outperformed previous techniques in most
computer vision tasks, including image-based plant phenotyping. However, massive data …
computer vision tasks, including image-based plant phenotyping. However, massive data …