Computer Analysis of Images and Patterns
Springer International Publishing (Verlag)
978-3-031-44236-0 (ISBN)
The 54 full papers presented were carefully reviewed and selected from 67 submissions. They were organized in the following section as follows:
Part I-:PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object Recognition and Segmentation.
Part II : Biometrics- Human Pose Estimation- Action Recognition; Biomedical Image and Pattern Analysis; and General Vision- AI Applications.
PAR Contest 2023.- Contest 2023: Pedestrian Attributes Recognition with Multi-Task Learning.- Evaluation of a Visual Question Answering Architecture for Pedestrian Attribute Recognition.- Deep Learning.- True Rank Guided Efficient Neural Architecture Search for End to End Low-Complexity Network Discovery.- Explainability-enhanced neural network for thoracic diagnosis improvement.- A comparison of neural network-based super-resolution models on 3D rendered images.- Safe Robot Navigation in Indoor Healthcare Workspaces.- EMBiL: An English-Manipuri Bi-lingual benchmark for scene text detection and language identification.- Low-dimensionality information extraction model for semi-structured documents.- Machine Learning for Image and Pattern Analysis.- Downsampling GAN for Small Object Data Augmentation.- Model regularisation for skin lesion symmetry classification: SymDerm v2.0.- Robust Adversarial Defense: Use of Auto-Inpainting.- Generalized Median Computation for Consensus Learning: A Brief Survey.- Efficient Representation Learning for Inner Speech Domain Generalization.- Using Diffusion Models for Dataset Generation: Prompt Engineering vs. Fine-tuning.- Towards Robust Colour Texture Classification with Limited Training Data.- Explaining StyleGAN Synthesized Swimmer Images in Low-Dimensional Space.- Interpolation Kernel Machines: Reducing Multiclass to Binary.- Knowledge Guided Deep Learning for General-Purpose Computer Vision Applications.- Teaching Computer Programming with Mathematics for Generating Digital Videos and Machine Learning Optimization.- Performance characterization of 2D CNN features for partial video copy detection.- Semi-Automated Patch-based Segmentation of Different Size Groups of Brain Metastases in MRI Images.- Texture analysis contribution to evaluating the common carotid artery's stroke risk using structural equation modeling.- Object Recognition and Segmentation.- Domain-Adaptive Data Synthesis for Large-Scale Supermarket Product Recognition.- PSM-PS: Part-based Signal Modulation for Person Search.- Fast Video Instance Segmentation via Recurrent Encoder-based Transformers.- Fast Context Adaptation for Video Object Segmentation.- ALPR - A Method for Identifying License Plates using Sequential Information.- Non-separable Moments in 3D.
Erscheinungsdatum | 21.09.2023 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XXIII, 309 p. 104 illus., 99 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 516 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Artificial Intelligence • face recognition • image matching • image reconstruction • Neural networks |
ISBN-10 | 3-031-44236-9 / 3031442369 |
ISBN-13 | 978-3-031-44236-0 / 9783031442360 |
Zustand | Neuware |
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