Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 5-10 Tagen versandfertig
Veröffentlichung:	Dezember 2023
Genre:	EDV / Informatik
	ArtificialIntelligence / ComputerNetworks / computersystems / Computervision / DeepLearning
ISBN:	9783031479656
EAN-Code:	9783031479656
Verlag:	Springer
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D 29 mm
Gewicht:	791 gr
Seiten:	528
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Virtual Reality.- A Pilot Study Comparing User Interactions Between Augmented and Virtual Reality.- Synthesizing Play-Ready VR Scenes with Natural Language Prompts through GPT API.- Emergent Individual Factors for AR Education and Training.- Segmentation.- ISLE: A Framework for Image Level Semantic Segmentation Ensemble.- Particulate Mapping Centerline Extraction (PMCE), a Novel Centerline Extraction Algorithm Based on Patterns in the Spatial Distribution of Aggregates.- Evaluating Segmentation Approaches on Digitized Herbarium Specimens.- Semantic Scene Filtering for Event Cameras in Long-Term Outdoor Monitoring Scenarios.- SODAWideNet - Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training.- Applications.- Foil-Net: Deep Learning-Based Wave Classification for Hydrofoil Surfing.- Inpainting of Depth Images using Deep Neural Networks for Real-Time Applications.- Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps.- Real-world Image Deblurring via Unsupervised Domain Adaptation.- Object Detection and Recognition.- Reliable Matching by Combining Optimal Color and Intensity Information based on Relationships between Target and Surrounding Objects.- Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning.- Visual Foreign Object Detection for Wireless Charging of Electric Vehicles.- Deep Representation Learning for License Plate Recognition in Low Quality Video Images.- Optimizing PnP-Algorithms for Limited Point Correspondences Using Spatial Constraints.- Deep Learning.- Unsupervised Deep-Learning Approach for Underwater Image Enhancement.- LaneNet++ : Uncertainty-aware Lane Detection for Autonomous Vehicle.- Task-driven Compression for Collision Encoding based on Depth Images.- Eigenpatches - Adversarial Patches from Principal Components.- Edge-guided Image Inpainting with Transformer.- Poster.- Bayesian Fusion inspired 3D reconstruction via LiDAR-Stereo Camera Pair.- Marimba Mallet Placement Tracker.- DINO-CXR: A Self Supervised Method Based on Vision Transformer for Chest X-Ray Classification.- Social Bias and Image Tagging: Evaluation of Progress in State-of-the-Art Models.- L-TReiD: Logic Tensor Transformer for Re-Identification.- Retinal Disease Diagnosis with a Hybrid ResNet50-LSTM Deep Learning Model.- Pothole Segmentation and Area Estimation with Deep Neural Networks and Unmanned Aerial Vehicles.- Generation method of robot assembly motion considering physicality gap between humans and robots.- A Self-Supervised Pose Estimation Approach for Construction Machines.- Image Quality Improvement of Surveillance Camera Images by Learning Noise Removal Method Using Noise2Noise.- Automating Kernel Size Selection in MRI Reconstruction via a Transparent and Interpretable Search Approach.- Segmentation and Identification of Mediterranean Plant Species.- Exploiting Generative Adversarial Networks in Joint Sensitivity Encoding for Enhanced MRI Reconstruction.- Multisensory Modeling of Tabular Data for Enhanced Perception and Immersive User Experience.- Coping with Bullying Incidents by the Narrative and Multi-modal Interaction in Virtual Reality.