Pattern Recognition -

Pattern Recognition

27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XXX
Buch | Softcover
XXXVII, 474 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-78112-4 (ISBN)
139,09 inkl. MwSt

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.

DCI-Net: Remote Sensing Image-based Object Detector.- CROSS-MODAL SHIP GROUNDING: TOWARDS LARGE MODEL FOR ENHANCED FEW-SHOT LEARNING.- STNet: Small Target Detection Network for IR Imagery.- FF-Yolo: A Feature-fusion Yolo model for Small Scale FODs detection in Airport Runways.- Weakly Aligned Multi-Spectral Pedestrian Detection via Cross-Modality Differential Enhancement and Multi-Scale Spatial Alignment.- CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures.- DS MYOLO: A Reliable Object Detector Based on SSMs for Driving Scenarios.- Robust Single-Cam Surround View Object  Detection and Localization Using Memory Maps.- Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal Navigation.- Reliable Semantic Understanding for Real World Zero-shot Object Goal Navigation.- AllWeather-Net: Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Low-Light Conditions.- Uni4DAL: A Unified Baseline for Multi-dataset 4D Auto-Labeling.- Dual-Attention Fusion Network with Edge and Content Guidance for Remote Sensing Images Segmentation.- Distortion Correction Sub-Network for Semantic Segmentation based on Deep Hough Transform.- MemoFlow: Modifying Explicit Motion of Inconsistency in Optical Flow.- Enhanced Brain Tumor Segmentation Using Preprocessing Techniques and 3D U-Net.- Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding.- Anticipating Future Object Compositions without Forgetting.- SPK: Semantic and Positional Knowledge for Zero-shot Referring Expression Comprehension.- Can Language Improve Visual Features For Distinguishing Unseen Plant Diseases?.- Show Me the World in My Language: Establishing the First Baseline for Scene-Text to Scene-Text Translation.- iGrasp: An Interactive 2D-3D Framework for 6-DoF Grasp Detection.- Goal-Driven Transformer for Robot Behavior Learning from Play Data.- Adaptive Dynamic VSLAM: Refining Semantic-Geometric Fusion and Static Background Inpainting.- Hierarchical Visual Place Recognition with Semantic-guided Attention.- Dense Reconstruction and Localization in Scenes with Glass Surfaces Based on ORB-SLAM2.- Content-Aware Feature Upsampling for Voxel-based 3D Semantic Segmentation.- Enhancing 3D Referential Grounding by Learning Coarse Spatial Relationships.- PointGADM: Geometry Acquainted Deep Model for 3D Point Cloud Analysis.- CroMA: Cross-Modal Attention for Visual Question Answering in Robotic Surgery.

Erscheint lt. Verlag 7.1.2025
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XXXVII, 474 p. 207 illus., 167 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Bioinformatics • Biomedical Imaging • biometrics • computer vision • Document Analysis • document recognition • Human-Computer Interaction (HCI) • Image Processing • machine learning • Machine vision • pattern recognition • Robot vision • Signal Processing • Speech processing • Video Processing
ISBN-10 3-031-78112-0 / 3031781120
ISBN-13 978-3-031-78112-4 / 9783031781124
Zustand Neuware
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