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Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 15, 2024, Proceedings, Part XXX [Mīkstie vāki]

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  • Formāts: Paperback / softback, 474 pages, height x width: 235x155 mm, 165 Illustrations, color; 23 Illustrations, black and white; XXXVII, 474 p. 188 illus., 165 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15330
  • Izdošanas datums: 04-Dec-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031781120
  • ISBN-13: 9783031781124
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Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 15, 2024, Proceedings, Part XXXPalielināt
  • Formāts: Paperback / softback, 474 pages, height x width: 235x155 mm, 165 Illustrations, color; 23 Illustrations, black and white; XXXVII, 474 p. 188 illus., 165 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 15330
  • Izdošanas datums: 04-Dec-2024
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031781120
  • ISBN-13: 9783031781124
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031781124.html
Keywords:
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 15, 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.