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Produktbild: Advanced Concepts for Intelligent Vision Systems
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Advanced Concepts for Intelligent Vision Systems 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings

Aus der Reihe Lecture Notes in Computer Science
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71,99 € UVP 80,24 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.11.2023

Abbildungen

XIII, 384 p. 142 illus., 128 illus. in color.

Herausgeber

Jaques Blanc-Talon + weitere

Verlag

Springer

Seitenzahl

384

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

604 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-45381-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

14.11.2023

Abbildungen

XIII, 384 p. 142 illus., 128 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

384

Maße (L/B/H)

23,5/15,5/2,2 cm

Gewicht

604 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-3-031-45381-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advanced Concepts for Intelligent Vision Systems
  • A hybrid quantum-classical segment-based Stereo Matching algorithm.- Continuous Exposure for Extreme Low-Light Imaging.- Semi-supervised Classification and Segmentation of Forest Fire using Autoencoders.- Descriptive and coherent paragraph generation for image paragraph captioning using vision transformer and post-processing.- Pyramid Swin Transformer for Multi-Task: Expanding to more computer vision tasks.- Person activity classification from an aerial sensor based on a multi-level deep features.- Person Quick-Search Approach based on a Facial Semantic Attributes Description.- Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers.- BENet: A lightweight bottom-up framework for context-aware emotion recognition.- Yolopoint: Joint Keypoint and Object Detection.- Less-than-one shot 3d segmentation hijacking a pre-trained space-time memory network.- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network.- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network.- A Single Image Neuro-Geometric Depth Estimation.- Wave-shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds.- A Deep Learning Approach to Segment High-Content Images of the E.coli Bacteria.- Multimodal Emotion Recognition System Through Three Different Channels (MER-3C).- Multi-Modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets.- A Contrario Mosaic Analysis for Image Forensics.- IRIS SEGMENTATION TECHNIQUE USING IRIS-UNet METHOD.- Image Acquisition by Image Retrieval with Color Aesthetics.- Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs.- Quality assessment for high dynamic range stereoscopic omnidirectional image system.- Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging.- Reinforcement Learning for truck Eco-driving: a serious game as driving assistance system.- Underwater mussel segmentation using smoothed shape descriptors with random forest.- A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain simulation.- Construction of a novel data set for pedestrian tree species detection using google street view data.- Texture-based Data Augmentation for Small Datasets.- Multimodal Representations for Teacher-Guided Compositional Visual Reasoning.- Enhanced Color QR Codes with Resilient Error Correction for Dirt-Prone Surfaces.