Pattern Recognition (eBook, PDF)

27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part III
Redaktion: Antonacopoulos, Apostolos; Pal, Umapada; Bhattacharya, Saumik; Liu, Cheng-Lin; Chellappa, Rama; Chaudhuri, Subhasis

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 474
• Erscheinungstermin: 4. Dezember 2024
• Englisch
• ISBN-13: 9783031781223
• Artikelnr.: 72530919

Inhaltsangabe

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.