[PDF] Top 20 Manhole Cover Localization in Aerial Images with a Deep Learning Approach
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Manhole Cover Localization in Aerial Images with a Deep Learning Approach
... WORDS: Deep learning, high resolution imagery, urban object detection, Convolutional Neural Network ABSTRACT: Urban growth is an ongoing trend and one of its direct consequences is the development of buried ... Voir le document complet
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Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatch
... algorithm with the use of the Weighted Stego- image (WS) steganalysis method [36] in order to estimate ...covers. With a set of stego images one can then accumulate clues about payload ... Voir le document complet
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A Novel Deep Learning Approach for Liver MRI Classification and HCC Detection
... fragments with equal sizes as output, and 2) creates a parallel CNN algorithm that allows HCC detection and localization in MRI ...to in- crease the Dice (or F-measure, or F1) compared ... Voir le document complet
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Detection of manhole covers in high-resolution aerial images of urban areas by combining two methods
... image with at 4 cm resolution on which we performed learning step. (a) (b) ...recall. a) with circular pattern detection; b) with the machine learning ...gave a ... Voir le document complet
5
Automatic fault mapping in remote optical images and topographic data with deep learning
... approaches in the future should help to transform probability maps into more accurate fault vectors than those we derived here using common vectorization ...Conclusions In the present study, we have ... Voir le document complet
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Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning
... of images or objects, which is why they are widely ...machine learning and more recently deep learning methods have achieved state-of-the-art performance on many computer vision problems by ... Voir le document complet
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Analysis of deep brain stimulation electrodes: A semi-automatic approach of contact localization
... Neurochirurgie A, Clermont-Ferrand, France; 4 CHU Clermont-Ferrand, Hôpital Gabriel Montpied, Service de Radiologie A, Clermont-Ferrand, France Introduction Deep brain stimulation (DBS) has proven to ... Voir le document complet
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Assessing land cover changes in the French Pyrenees since the 1940s A semi‐automatic GEOBIA approach using aerial photographs
... land cover changes during the last 70 years in three study sites of the Pyrenees, and to Observed changes of land abandoment or land‐use extensification can be similar at the regional scale but ... Voir le document complet
2
How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?
... ABSTRACT In this paper, we investigate the impact of segmentation al- gorithms as a preprocessing step for classification of remote sensing images in a deep learning ... Voir le document complet
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Deep active localization
... 4 Learning to Actively Localize In this chapter we present our algorithm for active localization (selecting actions for a ro- bot to be able to disambiguate its pose in a known ... Voir le document complet
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A Deep Learning Approach for Hand Posture Recognition from Depth Data
... how a data transformation step allows for fast and robust hand gesture recognition from depth data by ...(e.g. images), their application to 3D data is is not straightforward at all: either one needs to ... Voir le document complet
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A framework for remote sensing images processing using deep learning techniques
... pipeline In this section, we present prerequisites for the in- tegration of a process object that runs TF session for generic deep nets, in a OTB pipeline with RS ... Voir le document complet
7
Energy management for electric vehicles in smart cities: a deep learning approach
... gives a good approximation of the trip description. We call a ”hop” each time a user is recorded by a base ...distance in kilometers and the one of the trip duration in ... Voir le document complet
7
Detecting basal cell carcinoma in skin histopathological images using deep learning
... cancer in the United States and it is estimated that one in every five Americans will develop skin cancer in their lifetime ...If a doctor believes that a certain area of a ... Voir le document complet
51
A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design
... provide a novel platform for realizing ultrathin and planar/conformal electromagnetic (EM) components and systems ...tailored with high precision (3-6) for use in optical ...responses in ... Voir le document complet
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Analysing videos and still images of vulnerable marine ecosystems in the deep-sea: a practical application using COVER
... ecosystems in the deep-sea Inge Van Den Beld, Brigitte Guillaumont and Cyril Carré Cold-water coral reefs, and sponge grounds are seen as Vulnerable Marine Ecosystems ...adapted in these cases and it ... Voir le document complet
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A deep learning approach to classify atherosclerosis using intracoronary optical coherence tomography
... frames in the twenty two patients and selected 700 images which corresponded to diseased coronary ...disagreements in their annotations were resolved by ... Voir le document complet
10
Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
... presented in Table 1, we have a total of 2 × 10 = 20 runs for a particular parameter ...of a test patch in the middle as a central region (CR) and the remaining part as a ... Voir le document complet
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Automatic reconstruction of urban wastewater and stormwater networks based on uncertain manhole cover locations
... on a catchment where very little information about the network configuration is available, one solution may be to reconstruct it based on visible features such as manhole ...techniques in ... Voir le document complet
9
af en Deep Learning in Spiking Neural Networks Deep learning in spiking neural networks
... 1 In recent years, deep learning has revolutionized the field of machine learning, for computer vision in ...particular. In this approach, a deep ... Voir le document complet
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