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Artificial Neural Networks and Machine Learning - ICANN 2024 = 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.. Part III /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Artificial Neural Networks and Machine Learning - ICANN 2024/ edited by Michael Wand ... [et al.].
其他題名:	33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.
其他題名:	ICANN 2024
其他作者:	Wand, Michael.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xxxiii, 464 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Computer Communication Networks. -
電子資源:	https://doi.org/10.1007/978-3-031-72338-4
ISBN:	9783031723384

Artificial Neural Networks and Machine Learning - ICANN 2024 = 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.. Part III /
Artificial Neural Networks and Machine Learning - ICANN 202433rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.Part III /[electronic resource] :ICANN 2024edited by Michael Wand ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xxxiii, 464 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,150180302-9743 ;. - Lecture notes in computer science,7131. .

Computer Vision: Anomaly Detection. -- Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization. -- Computer Vision: Segmentation. -- DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation. -- Integrating Audio-Visual Contexts with Refinement for Segmentation. -- Loci-Segmented: Improving Scene Segmentation Learning. -- Large Language Model for Action Anticipation. -- MFPNet: A Multi-scale Feature Propagation Network for Lightweight Semantic Segmentation. -- Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-view Framework. -- Computer Vision: Pose Estimation and Tracking. -- DT2S-Pose: A Deeper Temporal-Spatial Skeleton Refine Model for Pedestrian Pose Estimation. -- DTG: Learning A Dynamic Token Graph for 3D Pose Forecasting. -- Dual-Branch Network with Online Knowledge Distillation for 3D Hand Pose Estimation. -- MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices. -- Siamese visual tracking with correlation and awareness. -- Computer Vision: Video Processing. -- Alignment-Enhanced Network for Temporal Language Grounding in Videos. -- Boundary-aware Noise-resistant Video Moment Retrieval. -- Large Language Model for Action Anticipation. -- Learning Object Permanence from Videos via Latent Imaginations. -- SSFlowNet: Semi-supervised Scene Flow Estimation On Point Clouds With Pseudo Label. -- Video Understanding Using 2D-CNNs on Salient Spatio-temporal Slices. -- Computer Vision: Generative Methods. -- A robust cycle generative adversarial network with an improved atmospheric scatter model for image dehazing. -- CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Ground Image Synthesis. -- Dual Dreamer: Extending Single-view Dreamer with Few shot of Complementary Views. -- Hair Transfer with Efficient Heuristic Chain of Editing. -- MAGIC: Multi-prompt Any length video Generation model with controllable Inter-frame Correlation and low barrier. -- Make Audio Solely Drive Lip in Talking Face Video Synthesis. -- P2H-GAN: An Effective Method For Generating Handwritten Expressions. -- SCI-Font: Enhancing Content-Style Representation for Chinese Calligraphy Generation with Skeleton, Contour and Inexact Paired Data. -- Topics in Computer Vision. -- Driver Safety System: A Real-time Sleep Detection and Lane Detection Model using IoT and Deep Learning. -- Gaze target detection with Visual Prompt Tuning based on attention. -- Let Multi-Classification Help Deep Imbalanced Regression. -- ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization.

The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17-20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.

ISBN: 9783031723384

Standard No.: 10.1007/978-3-031-72338-4doiSubjects--Topical Terms:

669310
Computer Communication Networks.

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Artificial Neural Networks and Machine Learning - ICANN 2024 = 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024 : proceedings.. Part III /
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