Search Results - "Shared encoder–decoder"

Attention Localness in Shared Encoder-Decoder Model For Text Summarization by Huang, Li, Wu, Hongmei, Gao, Qiang, Liu, Guisong

“…Text summarization is to generate a brief version of a given article while maintaining its essential meaning. Most existing solutions typically relied on the…”
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Noise adaptive spatiotemporal neural networks for deformation prediction of high rockfill dams by Wang, Zijian, Ma, Gang, Ai, Zhitao, Ding, Qianru, Zhou, Wei

“…Deformation prediction is a crucial approach in structural health monitoring of high rockfill dams, significantly contributing to their construction and…”
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MATSFT: User query-based multilingual abstractive text summarization for low resource Indian languages by fine-tuning mT5 by Phani, Siginamsetty, Abdul, Ashu, Prasad, M. Krishna Siva, Reddy, V. Dinesh

“…). The MATSFT employs a co-attention mechanism within a shared encoder–decoder architecture alongside the mT5 model to transfer knowledge across multiple low-resource languages…”
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Distributed Video Coding with Shared Encoder/Decoder Complexity by Clerckx, Tom, Munteanu, Adrian, Cornelis, Jan, Schelkens, Peter

“…Distributed video coding is a coding paradigm that allows complexity to be shared between encoder and decoder. In this context, video coding systems have been…”
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Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder by Li, Qian, Guo, Nan, Ye, Xiaochun, Fan, Dongrui, Tang, Zhimin

“… However, they require more cost. This work addresses that by an anchor-free detector with shared encoder-decoder with attention mechanism, extracting shared features…”
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Joint Multitask Learning for Image Segmentation and Salient Object Detection in Hyperspectral Imagery by Chhapariya, Koushikey, Ientilucci, Emmett J., Benoit, Alexandre, Buddhiraju, Krishna Mohan, Kumar, Anil

“… The architecture features a shared encoder-decoder structure for efficiency, with an attention block enhancing segmentation by capturing key spectral…”
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A Framework of Cross-Modal Learning for Solving Geometry Problems by Guo, Fucheng, Jian, Pengpeng, Wang, Yanli, Wang, Qingjiang

“…This paper presents a framework of deep cross-modal learning networks for solving geometry problems. Existing geometry solvers either focus on single-modal…”
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Unsupervised and Unregistered Hyperspectral Image Super-Resolution With Mutual Dirichlet-Net by Qu, Ying, Qi, Hairong, Kwan, Chiman, Yokoya, Naoto, Chanussot, Jocelyn

“…Hyperspectral images (HSIs) provide rich spectral information that has contributed to the successful performance improvement of numerous computer vision and…”
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DoDNet: Learning to Segment Multi-Organ and Tumors from Multiple Partially Labeled Datasets by Zhang, Jianpeng, Xie, Yutong, Xia, Yong, Shen, Chunhua

“…) that learns to segment multiple organs and tumors on partially labeled datasets. DoD-Net consists of a shared encoder-decoder architecture, a task encoding module, a controller for dynamic filter generation, and a single but dynamic segmentation head…”
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Measurement-guided therapeutic-dose prediction using multi-level gated modality-fusion model for volumetric-modulated arc radiotherapy by Gong, Changfei, Huang, Yuling, Jian, Junming, Zheng, Wenheng, Wang, Xiaoping, Ding, Shenggou, Zhang, Yun

“… While these models stack successive pooling layers to carry out sequential learning, directly splice together different modalities along channel dimensions and feed them into shared encoder-decoder…”
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Dual Encoder-Decoder-Encoder with Adversarial Training for Unsupervised Traffic Accident Detection in Surveillance Videos by Kandacharam, Sneha, Rajathilagam, B, Vasudevan, Shriram K.

“… The model uses two shared encoder-decoder pipelines to map image distributions to specified latent distributions in both directions…”
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Adaptive transformer-based multi-task learning framework for synchronous prediction of substation flooding and outage risks by Shi, Yu, Shi, Ying, Yao, Degui, Lu, Ming, Liang, Yun

“…•A novel Transformer-based multi-task prediction model synchronously predicts flooding and outage risks within substations.•Adaptive time coding improves…”
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A comprehensive study on supervised single-channel noisy speech separation with multi-task learning by Dang, Shaoxiang, Matsumoto, Tetsuya, Takeuchi, Yoshinori, Kudo, Hiroaki

“… (SPP), based on whether prioritizing enhancement or separation. Next, we classify each pipeline into shared encoder–decoder scheme (SEDS…”
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Multi-modality MRI fusion with patch complementary pre-training for internet of medical things-based smart healthcare by Lyu, Jun, Chen, Xiudong, AlQahtani, Salman A., Hossain, M. Shamim

“…Magnetic Resonance Imaging (MRI) is a pivotal neuroimaging technique capable of generating images with various contrasts, known as multi-modal images. The…”
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UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRI by Zhang, Zhuoneng, Han, Luyi, Zhang, Tianyu, Lin, Zehui, Gao, Qinquan, Tong, Tong, Sun, Yue, Tan, Tao

“…) that can segment multiple organs and cancers. UniMRISegNet features a shared encoder-decoder architecture equipped with contextual prompt generation (CPG…”
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Multilingual Machine Translation: Deep Analysis of Language-Specific Encoder-Decoders by Escolano, Carlos, Ruiz Costa-jussà, Marta, R. Fonollosa, José A.

“…State-of-the-art multilingual machine translation relies on a shared encoder-decoder…”
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OmniViD: A Generative Framework for Universal Video Understanding by Wang, Junke, Chen, Dongdong, Luo, Chong, He, Bo, Yuan, Lu, Wu, Zuxuan, Jiang, Yu-Gang

“…The core of video understanding tasks, such as recognition, captioning, and tracking, is to automatically de-tect objects or actions in a video and analyze…”
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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Qi, Jian, Ji, Min, Jin, Fengxiang, Xu, Jianran, Ji, Hanyu, Wang, Juan

“…Precise monitoring and extraction of coastal aquaculture ponds are crucial for ecological conservation and the sustainable use of coastal wetlands. However,…”
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Single-Shot Panoptic Segmentation by Weber, Mark, Luiten, Jonathon, Leibe, Bastian

“… On top of a shared encoder-decoder backbone, we utilize multiple branches for semantic segmentation, object detection, and instance center prediction…”
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SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images by Taghavi, Pardis, Langari, Reza, Pandey, Gaurav

“… The proposed approach is based on a shared encoder-decoder architecture, which integrates various techniques to improve the accuracy of the depth estimation and semantic segmentation task without…”
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