UID:
almahu_9949930859902882
Umfang:
XXXVII, 474 p. 142 illus., 136 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031781223
Serie:
Lecture Notes in Computer Science, 15303
Inhalt:
The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1-5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics.
Anmerkung:
Deep Multi-order Context-aware Kernel Network for Multi-label Classification -- Classifier Enhanced Deep Learning Model for Erythroblast Differentiation with Limited Data -- PiExtract: An End-to-End Data Extraction pipeline for Pie-Charts -- Machine Learning Solutions for Predicting Bankruptcy in Indian Firms -- Efficient Object Detection via Fine-grained Regularization with Global Initialization -- On Trace of PGD-Like Adversarial Attacks -- CAB-KWS: Contrastive Augmentation: An Unsupervised Learning Approach for Keyword Spotting in Speech Technology -- Deep Learning in Automated Worm Identification and Tracking for C. Elegan Mating Behaviour Analysis -- Interactive-Time Text-Guided Editing of 3D Face -- Unlearning Vision Transformers without Retaining Data via Low-Rank Decompositions -- gWaveNet: Classification of Gravity Waves from Noisy Satellite Data using Custom Kernel Integrated Deep Learning Method -- Neural-Code PIFu: High-Fidelity Single Image 3D Human Reconstruction via Neural Code Integration -- Sea-ShipNet: Detect Any Ship in SAR Images -- Semantic Correlation Adaptation for Union-Set Multi-Label Image Recognition -- FedSC: Federated Generalized Face Anti-Spoofing via Shuffled Codebook -- LoHoSC: Low Order High Order Style Consistency for Syn-to-Real Domain Generalized Semantic Segmentation -- Incorporating Spatial Locality into Self-Attention for Training Vision Transformer on Small-Scale Datasets -- Cross-Domain Calibration and Boundary Denoising Network for Weakly Supervised Semantic Segmentation -- EFLLD-NET: Enhancing Few-Shot Learning With Local Descriptors -- Using Multiscale Information for Improved Optimization-based Image Attribution -- Split-DNN Computing for Video Analytics -- Task-Aware Local Descriptors Reconstruction Network for Few-Shot Find-Grained Image Classification -- TRIGS: Trojan Identification from Gradient-based Signatures -- Multifaceted Anchor Nodes Attack on Graph Neural Networks: A Budget-efficient Approach -- Causal Attentive Group Recommendation -- E2DAS: An Efficient Equivariant Dynamic Aggregation Saliency Model for Omnidirectional Images -- FewConv: Efficient variant convolution for few-shot image generation -- FixPix: Fixing Bad Pixels using Deep Learning -- Real-world Coarse to Fine-Grained Source-Free Multidomain Adaptation.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031781216
Weitere Ausg.:
Printed edition: ISBN 9783031781230
Sprache:
Englisch
DOI:
10.1007/978-3-031-78122-3
URL:
https://doi.org/10.1007/978-3-031-78122-3
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