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Conference

Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation

Subjects: Knot segmentation Outer-Inter relationship prediction ConvLSTM; Knot segmentation; Outer-Inter relationship predictionVienne; Austria

  • Source: Computer Vision Systems : proceedings ; 14th International Conference on Computer Vision Systems - ICVS 2023 ; https://hal.science/hal-04528705 ; 14th International Conference on Computer Vision

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Conference

Improving Knot Prediction in Wood Logs with Longitudinal Feature Propagation

Subjects: Knot segmentation; Outer-Inter relationship prediction; ConvLSTMVienne (Autriche); Austria

  • Source: International Conference on Computer Vision Systems ; https://hal.science/hal-04507193 ; International Conference on Computer Vision Systems, Sep 2023, Vienne (Autriche), Austria. pp.169-180

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Conference

Integrating Visual and Semantic Similarity Using Hierarchies for Image Retrieval

Subjects: Similarity Search; Visual Hierarchy; Content-based image retrievalVienne (AUT); Austria

  • Source: Lecture Notes in Computer Science ; Computer Vision Systems. ICVS 2023 ; https://hal.univ-lorraine.fr/hal-04423201 ; Computer Vision Systems. ICVS 2023, Sep 2023, Vienne (AUT), Austria. pp.422-431,

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Conference

Measuring 3D-reconstruction quality in probabilistic volumetric maps with the Wasserstein Distance

Subjects: [INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Stuttgart; Germany

  • Source: 56th International Symposium on Robotics (ISR Europe)https://hal.science/hal-0368778156th International Symposium on Robotics (ISR Europe), Sep 2023, Stuttgart, Germany

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Conference

Next-Best-View selection from observation viewpoint statistics

Subjects: next-best-view; NBV; explorationDetroit; Michigan/USA; United States

  • Source: International Conference on Intelligent Robots and Systems (IROS) ; https://hal.science/hal-04128252 ; International Conference on Intelligent Robots and Systems (IROS), IEEE, Oct 2023, Detroit,

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Academic Journal

Usefulness of synthetic datasets for diatom automatic detection using a deep-learning approach

Subjects: Synthetic dataset; Images; Diatoms

  • Source: ISSN: 0952-1976 ; Engineering Applications of Artificial Intelligence ; https://hal.univ-lorraine.fr/hal-03852321 ; Engineering Applications of Artificial Intelligence, 2023, 117, pp.105594.

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Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); FOS: Computer and information sciences

  • Source: https://hal.science/hal-04034465 ; 2023.

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Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers

Subjects: [INFO]Computer Science [cs]

  • Source: https://hal.science/hal-04034465 ; 2023.

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Comparing Metrics for Evaluating 3D Reconstruction Quality in Large-Scale Environment Mapping

Subjects: mapping; 3d reconstructions; metrics

  • Source: https://hal.science/hal-04128242 ; 2023.

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Academic Journal

Machine learning techniques to characterize functional traits of plankton from image data

Subjects: Functional trait-based ecology; plankton; imaging

  • Source: ISSN: 0024-3590.

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  • 1-10 of  18 results for ""Pradalier, Cédric""