Search Results - "encoder–decoder framework"

Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction by Fei, Hao, Ren, Yafeng, Zhang, Yue, Ji, Donghong

“…Aspect-based sentiment triplet extraction (ASTE) aims at recognizing the joint triplets from texts, i.e., aspect terms, opinion expressions, and correlated…”
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Parallel encoder-decoder framework for image captioning by Saeidimesineh, Reyhane, Adibi, Peyman, Karshenas, Hossein, Darvishy, Alireza

“…Recent progress in deep learning has led to successful utilization of encoder–decoder frameworks inspired by machine translation in image captioning models…”
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Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization by Jin, Xue-Bo, Zheng, Wei-Zhen, Kong, Jian-Lei, Wang, Xiao-Yi, Bai, Yu-Ting, Su, Ting-Li, Lin, Seng

“…Short-term electrical load forecasting plays an important role in the safety, stability, and sustainability of the power production and scheduling process. An…”
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A survey on automatic image caption generation by Bai, Shuang, An, Shan

“…Image captioning means automatically generating a caption for an image. As a recently emerged research area, it is attracting more and more attention. To…”
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Automatic medical image interpretation: State of the art and future directions by Ayesha, Hareem, Iqbal, Sajid, Tariq, Mehreen, Abrar, Muhammad, Sanaullah, Muhammad, Abbas, Ishaq, Rehman, Amjad, Niazi, Muhammad Farooq Khan, Hussain, Shafiq

“…•Image interpretation is an emerging field of artificial intelligence.•A good amount of research has been published with different titles that may include…”
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High-Order Interaction Learning for Image Captioning by Wang, Yanhui, Xu, Ning, Liu, An-An, Li, Wenhui, Zhang, Yongdong

“…Image captioning aims at understanding various semantic concepts (e.g., objects and relationships) from an image and integrating them in a sentence-level…”
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Zero-Shot Learning via Latent Space Encoding by Yu, Yunlong, Ji, Zhong, Guo, Jichang, Zhang, Zhongfei

“…Zero-shot learning (ZSL) is typically achieved by resorting to a class semantic embedding space to transfer the knowledge from the seen classes to unseen ones…”
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A Physical Law Constrained Deep Learning Model for Vehicle Trajectory Prediction by Li, Hanchu, Liao, Ziyi, Rui, Yikang, Li, Linchao, Ran, Bin

“…Vehicle trajectory prediction is crucial and indispensable for ensuring the safe and efficient operation of autonomous vehicles in complex traffic…”
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Pedestrian trajectory prediction using BiRNN encoder-decoder framework by Wu, Jiaxu, Woo, Hanwool, Tamura, Yusuke, Moro, Alessandro, Massaroli, Stefano, Yamashita, Atsushi, Asama, Hajime

“…Autonomous mobile robots navigating through human crowds are required to foresee the future trajectories of surrounding pedestrians and accordingly plan safe…”
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An improved Wavenet network for multi-step-ahead wind energy forecasting by Wang, Yun, Chen, Tuo, Zhou, Shengchao, Zhang, Fan, Zou, Ruming, Hu, Qinghua

“…•A novel hybrid deep model is proposed for multi-step-ahead wind energy forecasting.•An encoder-decoder framework is designed to extract comprehensive…”
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Multiple weather degraded image restoration based on multi-component decomposition by Lin, Xiao, Chen, Yilin, Xu, Duojiu, Yang, Qizhe, Li, Yan, Huang, Wei, Li, Ping

“…•Three-component prior decomposes images into background, primary mask, and residual.•Transformer trunk and attention branches disentangle overlapping weather…”
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VMDI-LSTM-ED: A novel enhanced decomposition ensemble model incorporating data integration for accurate non-stationary daily streamflow forecasting by Liu, Jiadong, Xu, Teng, Lu, Chunhui

“…•A novel model, VMDI-LSTM-ED, is proposed for non-stationary streamflow forecasting.•Data integration (DI) is firstly employed to enhance decomposition…”
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Exploring EfficientNet Variants for Image Encoding in Auxiliary Signal Guided Knowledge Encoder-Decoder Framework by Henry, Matthew Martianus, Heryanto, Nur Adhianti, Pardamean, Bens

“…The growing number of medical images has led to radiologist burnout, which seriously impacts the radiologist's performance. To address the previously mentioned…”
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DKPE: Deep KeyPhrase Expansion by Du, Huaming, Xie, Zhilong, Song, Jia, Yuan, Yaoxing, Li, Jiacan, Chen, Xingyan, Chen, Huangen, Zhao, Yu, Zhuang, Fuzhen, Li, Qing

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An extended attention mechanism for scene text recognition by Xiao, Zheng, Nie, Zhenyu, Song, Chao, Chronopoulos, Anthony Theodore

“…Scene text recognition (STR) refers to obtaining text information from natural text images. The task is more challenging than the optical character…”
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PML-ED: A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation by Wang, Zhenwu, Liu, Fanghan, Han, Mengjie, Tang, Hongjian, Wan, Benting

“…•A method of partial multi-label learning is proposed based on Encoder-Decoder.•A method generates credible label distribution by using KNN label…”
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A novel intelligent health prediction method for lithium‐ion batteries within a variable voltage range by Tan, Xiaojun, Zhuang, Huanbiao, Song, Xinman, Wang, Huanyu, Fan, Yuqian

“…Summary As the Internet of Vehicles and cloud computing have rapidly developed, they have become increasingly relevant to the online prediction of the state of…”
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Efficient time-domain speech separation using short encoded sequence network by Liu, Debang, Zhang, Tianqi, Christensen, Mads Græsbøll, Ma, Baoze, Deng, Pan

“…The key to single-channel time-domain speech separation lies in encoding the mixed speech into latent feature representations by encoder and obtaining the…”
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Spatial-information Guided Adaptive Context-aware Network for Efficient RGB-D Semantic Segmentation by Zhang, Yang, Xiong, Chenyun, Liu, Junjie, Ye, Xuhui, Sun, Guodong

“…Efficient RGB-D semantic segmentation has received considerable attention in mobile robots, which plays a vital role in analyzing and recognizing environmental…”
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A robust electricity price forecasting framework based on heteroscedastic temporal Convolutional Network by Shi, Wei, Feng Wang, Yu

“…•Introduces the Heteroscedastic Temporal Convolutional Network for day-ahead electricity price forecasting.•Employs a heteroscedastic output layer to represent…”
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