Suchergebnisse - "Shared encoder–decoder"

Attention Localness in Shared Encoder-Decoder Model For Text Summarization

Autoren: Li Huang Hongmei Wu Qiang Gao et al.

Quelle: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5

Autoren: Siginamsetty Phani Ashu Abdul M. Krishna Siva Prasad et al.

Quelle: Alexandria Engineering Journal, Vol 127, Iss, Pp 129-142 (2025)

Schlagwörter: Multilingual text summarization, Co-attention mechanism, User query-based summarization, Fine-tuning mT5, TA1-2040, Engineering (General). Civil engineering (General), Shared encoder–decoder

Zugangs-URL: https://doaj.org/article/5f5bec6e242e417891b146c0d1a6db3e

Pixel-Semantic Revising of Position: One-Stage Object Detector with Shared Encoder-Decoder

Autoren: Qian Li Nan Guo Xiaochun Ye et al.

Quelle: Communications in Computer and Information Science ISBN: 9783030638191

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-3-030-63820-7_59
https://dblp.uni-trier.de/db/conf/iconip/iconip2020-4.html#LiGYFT20

Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder

Autoren: Li, Qian Guo, Nan Ye, Xiaochun et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, text

URL: http://arxiv.org/abs/2001.01057

JOINT MULTITASK LEARNING FOR IMAGE SEGMENTATION AND SALIENT OBJECT DETECTION IN HYPERSPECTRAL IMAGERY

Autoren: Chhapariya, Koushikey Emmett J., Ientilucci Benoit, A et al.

Weitere Verfasser: Chhapariya, Koushikey Emmett J., Ientilucci Benoit, A et al.

Quelle: Workshop on Hyperspectral Images and Signal Processing (WHISPERS 2024) ; https://hal.science/hal-04787308 ; Workshop on Hyperspectral Images and Signal Processing (WHISPERS 2024), Dec 2024, Helsinki, Finland

Schlagwörter: Attention Network, ASPP, Shared-encoder decoder, Salient Object Detection, Image Segmentation, Remote Sensing, Multitask Learning, Hyperspectral Image Classification, [INFO]Computer Science [cs], [SDE]Environmental Sciences, [SDU]Sciences of the Universe [physics]

Geographisches Schlagwort: Helsinki, Finland

Verfügbarkeit: https://hal.science/hal-04787308
https://hal.science/hal-04787308v1/document
https://hal.science/hal-04787308v1/file/WHISPERS_2024.pdf

Distributed Video Coding with Shared Encoder/Decoder Complexity

Autoren: Clerckx, Tom Munteanu, Adrian Jan, Cornelis et al.

Weitere Verfasser: Clerckx, Tom Munteanu, Adrian Jan, Cornelis et al.

Quelle: 2007 IEEE International Conference on Image Processing. :VI-417

Schlagwörter: low-complexity coding, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Wyner-Ziv coding, Distributed Video Coding

Zugangs-URL: https://biblio.vub.ac.be/vubir/distributed-video-coding-with-shared-encoderdecoder-complexity(38e93132-21cc-494f-ad77-5812b972427b).html

Shared encoder/decoder circuits for use with error correction codes of an optical disk system

Distributed Video Coding with Shared Encoder/Decoder Complexity

Autoren: Tom Clerckx Adrian Munteanu

Weitere Verfasser: Tom Clerckx Adrian Munteanu

Verfügbarkeit: https://biblio.vub.ac.be/vubir/distributed-video-coding-with-shared-encoderdecoder-complexity(38e93132-21cc-494f-ad77-5812b972427b).html

Noise adaptive spatiotemporal neural networks for deformation prediction of high rockfill dams.

Autoren: Wang, Zijian Ma, Gang Ai, Zhitao et al.

Quelle: Expert Systems with Applications. Dec2025, Vol. 294, pN.PAG-N.PAG. 1p.

Schlagwörter: *STRUCTURAL health monitoring, *LONG short-term memory, *DAMS, *OUTLIER detection, *STRAINS & stresses (Mechanics), *GRAPH neural networks, *ARTIFICIAL neural networks

Measurement-guided therapeutic-dose prediction using multi-level gated modality-fusion model for volumetric-modulated arc radiotherapy.

Autoren: Gong, Changfei Huang, Yuling Jian, Junming et al.

Quelle: Frontiers in Oncology; 2025, p1-16, 16p

Schlagwörter: STANDARD deviations, HEAD & neck cancer, SEQUENTIAL learning, ARTIFICIAL intelligence, CANCER radiotherapy

Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders.

Autoren: Escolano, Carlos Costa-jussà, Marta R. Fonollosa, José A. R.

Quelle: Journal of Artificial Intelligence Research; 2022, Vol. 73, p1535-1552, 18p

Schlagwörter: MACHINE translating, ARTIFICIAL intelligence, COMPUTER science, SEMANTICS, LANGUAGE & languages

Simultaneous segmentation and classification of lung CT scans for COVID-19 diagnosis: a deep multi-task learning perspective.

Autoren: Kordnoori, Shirin Sabeti, Maliheh Mostafaei, Hamidreza et al.

Quelle: Neural Computing & Applications. Feb2025, Vol. 37 Issue 6, p4185-4205. 21p.

Schlagwörter: *ARTIFICIAL intelligence, *COVID-19 pandemic, *IMAGE segmentation, *IMAGE processing, *COVID-19 testing, *RANDOM fields

Multilingual machine translation: Deep analysis of language-specific encoder-decoders

Autoren: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla et al.

Index Begriffe: Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic, Machine translating, Natural language processing (Computer science), Computational linguistics, Computer aided language translation, Decoding, Neural machine translation, Traducció automàtica, Tractament del llenguatge natural (Informàtica), Article

URL: http://hdl.handle.net/2117/368571
https://jair.org/index.php/jair/article/view/12699
https://jair.org/index.php/jair/article/view/12699
info:eu-repo/grantAgreement/EC/H2020/947657/EU/Lifelong UNiversal lAnguage Representation/LUNAR

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Autoren: Ao, Junyi Wang, Rui Zhou, Long et al.

Index Begriffe: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound, text

URL: http://arxiv.org/abs/2110.07205

基于多任务学习的建筑毁伤评估方法. (Chinese)

Alternate Title: Multi-task learning based building damage assessment method. (English)

Autoren: 王一博 张乐飞 李新德

Quelle: Systems Engineering & Electronics; Oct2024, Vol. 46 Issue 10, p3375-3382, 8p

Schlagwörter: RESOURCE allocation, DEEP learning, DISASTER relief

XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training.

Autoren: ZEHAO LIN GUODUN LI JINGFENG ZHANG et al.

Quelle: ACM Transactions on Software Engineering & Methodology; Jul2022, Vol. 31 Issue 3, p1-44, 44p

Schlagwörter: DEEP learning, SOFTWARE engineering, PROGRAMMING languages, SOURCE code, ARTIFICIAL intelligence, SOFTWARE engineers

GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning

Autoren: Wang, Eileen Han, Caren Poon, Josiah

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2410.09377

OmniVid: A Generative Framework for Universal Video Understanding

Autoren: Wang, Junke Chen, Dongdong Luo, Chong et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2403.17935

SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images

Autoren: Taghavi, Pardis Langari, Reza Pandey, Gaurav

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2403.10662

Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net.

Autoren: Qu, Ying Qi, Hairong Kwan, Chiman et al.

Quelle: IEEE Transactions on Geoscience & Remote Sensing; Jan2022, Vol. 60 Issue 1, p1-18, 18p

Schlagwörter: HIGH resolution imaging, MULTISPECTRAL imaging, COMPUTER vision, REMOTE sensing, SPATIAL resolution, IMAGE registration