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000 nam5i
001 2210080934617
003 DE-He213
005 20250321105423
007 cr nn 008mamaa
008 240727s2024 si | s |||| 0|eng d
020 a97898197612589978-981-97-6125-8
024 a10.1007/978-981-97-6125-82doi
040 a221008
050 aQ334-342
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245 00 aGeneralizing from Limited Resources in the Open Worldh[electronic resource] :bSecond International Workshop, GLOW 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024, Proceedings /cedited by Jinyang Guo, Yuqing Ma, Yifu Ding, Ruihao Gong, Xingyu Zheng, Changyi He, Yantao Lu, Xianglong Liu.
250 a1st ed. 2024.
264 aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.
300 aX, 210 p. 52 illus., 48 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aCommunications in Computer and Information Science,x1865-0937 ;v2160
505 aEfficient Methods for Low-resource Hardware -- Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor -- Toward Efficient Deep Spiking Neuron Networks: A Survey On Compression -- Towards Efficient Fault Detection of UHV DC Circuit Breakers -- Robust Autonomous Unmanned Aerial Vehicle System for Efficient Tracking of Moving Objects -- Efficient Fintuning with Limited Data -- Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap.-CafeLLM: Context-Aware Fine-Grained Semantic Clustering using Large Language Models -- Adapter-Based Contextualized Meta Embeddings -- Advancements in Multimodal Systems -- MADP: Multi-modal Sequence Learning for Alzheimer’s Disease Prediction with Missing Data -- Multi-modal Spatiotemporal Forecasting via Cross-scale Operator Learning and Spatial Representation Aggregation -- Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation -- Bridging the Language Gap: Domain-Specific Dataset Construction for Medical LLMs -- Integrating Text-to-Image and Vision Language Models for Synergistic Dataset Generation: The Creation of Synergy-General-Multimodal Pairs -- Recognition and Reasoning in the Open World -- Semantic-Degrade Learning Framework for Open World Object Detection -- Multi-modal Prompts with Feature Decoupling for Open-Vocabulary Object Detection -- YOLO-FCNET: Enhancing SAR Ship Detection with Fourier Convolution in YOLOv8.
520 aThis book presents the Proceedings from the Second International Workshop GLOW 2024 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024, in Jeju Island, South Korea, in August 2024. The 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: efficient methods for low-resource hardware; efficient fintuning with limited data; advancements in multimodal systems; recognition and reasoning in the open world.
650 aArtificial intelligence.
650 aComputer science.
650 aComputers.
650 aApplication software.
650 aArtificial Intelligence.
650 aTheory of Computation.
650 aComputing Milieux.
650 aComputer and Information Systems Applications.
700 aGuo, Jinyang.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aMa, Yuqing.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aDing, Yifu.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aGong, Ruihao.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aZheng, Xingyu.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aHe, Changyi.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aLu, Yantao.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aLiu, Xianglong.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9789819761241
776 iPrinted edition:z9789819761265
830 aCommunications in Computer and Information Science,x1865-0937 ;v2160
856 uhttps://doi.org/10.1007/978-981-97-6125-8
912 aZDB-2-SCS
912 aZDB-2-SXCS
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Generalizing from Limited Resources in the Open World[electronic resource] :Second International Workshop, GLOW 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024, Proceedings /edited by Jinyang Guo, Yuqing Ma, Yifu Ding, Ruihao Gong, Xingyu Zheng, Changyi He, Yantao Lu, Xianglong Liu
Material type
전자책
Title
Generalizing from Limited Resources in the Open World[electronic resource] :Second International Workshop, GLOW 2024, Held in Conjunction with IJCAI 2024, Jeju, South Korea, August 3, 2024, Proceedings /edited by Jinyang Guo, Yuqing Ma, Yifu Ding, Ruihao Gong, Xingyu Zheng, Changyi He, Yantao Lu, Xianglong Liu
Author's Name
판 사항
1st ed. 2024.
Physical Description
X, 210 p 52 illus, 48 illus in color online resource.
Keyword
This book presents the Proceedings from the Second International Workshop GLOW 2024 held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI 2024, in Jeju Island, South Korea, in August 2024. The 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 22 submissions. They were organized in topical sections as follows: efficient methods for low-resource hardware; efficient fintuning with limited data; advancements in multimodal systems; recognition and reasoning in the open world.
내용주기
Efficient Methods for Low-resource Hardware / Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor / Toward Efficient Deep Spiking Neuron Networks: A Survey On Compression / Towards Efficient Fault Detection of UHV DC Circuit Breakers / Robust Autonomous Unmanned Aerial Vehicle System for Efficient Tracking of Moving Objects / Efficient Fintuning with Limited Data / Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap.-CafeLLM: Context-Aware Fine-Grained Semantic Clustering using Large Language Models / Adapter-Based Contextualized Meta Embeddings / Advancements in Multimodal Systems / MADP: Multi-modal Sequence Learning for Alzheimer’s Disease Prediction with Missing Data / Multi-modal Spatiotemporal Forecasting via Cross-scale Operator Learning and Spatial Representation Aggregation / Improved VLN-BERT with Reinforcing Endpoint Alignment for Vision-and-Language Navigation / Bridging the Language Gap: Domain-Specific Dataset Construction for Medical LLMs / Integrating Text-to-Image and Vision Language Models for Synergistic Dataset Generation: The Creation of Synergy-General-Multimodal Pairs / Recognition and Reasoning in the Open World / Semantic-Degrade Learning Framework for Open World Object Detection / Multi-modal Prompts with Feature Decoupling for Open-Vocabulary Object Detection / YOLO-FCNET: Enhancing SAR Ship Detection with Fourier Convolution in YOLOv8.
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