Search Results - Encoderdecoder architectures

Simultaneous segmentation and classification of bird song using CNN by Narasimhan, Revathy, Fern, Xiaoli Z., Raich, Raviv

“…) with encoder-decoder architecture. Experimental results on bird recordings show significant improvement compared to recent state-of-the-art methods for both segmentation…”
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Optimizing Multi-Class Change Segmentation in High-Resolution Satellite Imagery With a Siamese Network for Low-Resource Environments by Srivastava, Noopur, Jain, Kamal

“… Unlike traditional binary change detection, which requires post-processing to identify specific transformations, we introduce a Siamese architecture called SiamSegCD…”
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STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing by Qi, Mengshi, Wang, Yunhong, Li, Annan, Luo, Jiebo

“… and convolutional long short-term memory (LSTM) in the encoder-decoder architecture. By virtue of STC-GAN, both spatial layout and semantic context can be captured…”
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MCBTNet: Multi-Feature Fusion CNN and Bi- Level Routing Attention Transformer-Based Medical Image Segmentation Network by Zhang, Boheng, Zheng, Zelin, Zhao, Yanqi, Shen, Yi, Sun, Mingjian

“… Routing Attention Transformer (MCBTNet). MCBTNet integrates CNNs and Transformers within a U-shaped encoder-decoder architecture…”
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A Text-Guided Generation and Refinement Model for Image Captioning by Wang, Depeng, Hu, Zhenzhen, Zhou, Yuanen, Hong, Richang, Wang, Meng

“…A high-quality image description requires not only the logic and fluency of language but also the richness and accuracy ofcontent. However, due to the semantic…”
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Neural Architecture Search for Joint Human Parsing and Pose Estimation by Zeng, Dan, Huang, Yuhang, Bao, Qian, Zhang, Junjie, Su, Chi, Liu, Wu

“… while modeling their correlation in the joint learning fashion. Recent studies have shown that Neural Architecture Search (NAS…”
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Deep learning in image segmentation for mineral production: A review by Liu, Yang, Wang, Xueyi, Zhang, Zelin, Deng, Fang

“… We present a review of recent literature in this direction, covering the module components, encoder-decoders architecture, representative networks, mineral image datasets, performance metrics…”
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What Comes Next and Why? A Staged Encoder-Decoder Architecture for Script Event Prediction by Han, Shuaihu, Yang, Guohua, Zhang, Dawei, Tao, Jianhua

“…, argument vocabulary, which we refer to as microscale information. To fuse event information from different scales, we propose a staged encoder-decoder architecture (SEDA…”
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Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks by Soltaninejad, Mohammadreza, Sturrock, Craig J., Griffiths, Marcus, Pridmore, Tony P., Pound, Michael P.

“… We utilise a deep learning approach, and propose a state-of-the-art multi-resolution architecture based on encoder-decoders…”
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Dynamic Fuzzy-Based Cost Assignment Module for a Reinforced Nested Segmentation Model in Industrial Fault Identification by Prokop, Katarzyna, Wozniak, Marcin, Polap, Dawid, Wieczorek, Michal

“… The proposed solution is based on a semantic segmentation approach using a nested encoderdecoder architecture…”
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Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning by Xie, Ailing, Lin, Qiang, He, Yang, Zeng, Xianwu, Cao, Yongchun, Man, Zhengxing, Liu, Caihong, Hao, Yusheng, Huang, Xiaodi

“… This study introduces a deep learning-based segmentation model structured around an encoder-decoder architecture…”
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Group-Equivariant UNet with Self-Supervised Color Space Based Representation Learning for Plant Disease Classification by Mandal, Sayoni, Das, Bibek, Ali, Asfak, Bagchi, Saptaparna, Ghosh, Ayushman, Feiz, Amir-Ali, Djemal, Khalifa, Chaudhuri, Sheli Sinha

“… In the self-supervised phase, a lightweight encoderdecoder architecture learns meaningful representations by reconstructing input images, thus effectively utilizing unlabeled data…”
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Relocating operational and damaged bikes in free-floating systems: A data-driven modeling framework for level of service enhancement by Chang, Ximing, Wu, Jianjun, Sun, Huijun, Correia, Gonçalo Homem de Almeida, Chen, Jianhua

“… The demand forecasting model adopts the Encoder-Decoder architecture embedded with the attention mechanism to further…”
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A surrogate modeling method for distributed land surface hydrological models based on deep learning by Sun, Ruochen, Pan, Baoxiang, Duan, Qingyun

“…•A surrogate model for distributed hydrological models is developed using deep networks.•The surrogate model can handle high-dimensional input–output maps of…”
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MSFNet: MultiStage Fusion Network for infrared and visible image fusion by Wang, Chenwu, Wu, Junsheng, Zhu, Zhixiang, Chen, Hao

“… Unlike other deep learning methods, our network architecture is designed to the complex balance between spatial details and contextualized information…”
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Attention based Image Caption Generation (ABICG) using Encoder-Decoder Architecture by Kulkarni, Uday, Tomar, Kushagra, Kalmat, Mayuri, Bandi, Rakshita, Jadhav, Pranav, Meena, Sm

“…The image captioning is utilized to develop the explanations of the sentences describing the series of scenes captured in the image or picture forms. The…”
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CWRepViT-Net: An encoder-decoder deep learning framework with RepViT blocks for crop weed semantic segmentation in soybean fields through their life journey by Gomroki, Masoomeh, Benaragama, Dilshan, Henry, Christopher James, Badreldin, Nasem, Gulden, Robert

“…With the world's population growing at a steady rate, demand for agricultural products continues to increase. To meet this expanding need, it is critical to…”
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Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network by Huang, Pu, Li, Dengwang, Jiao, Zhicheng, Wei, Dongming, Cao, Bing, Mo, Zhanhao, Wang, Qian, Zhang, Han, Shen, Dinggang

“…•The common feature space learning is employed to encode comprehensive multi-modality information to accommodate different combinations of input imaging…”
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Multiscale segmentation net for segregating heterogeneous brain tumors: Gliomas on multimodal MR images by Sachdeva, Jainy, Sharma, Deepanshu, Ahuja, Chirag Kamal

“… Therefore, a deep learning-based encoder-decoder architecture named “MS-SegNet” using 3D multi-scale convolutional layers is proposed…”
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LVP-net: A deep network of learning visual pathway for edge detection by Zhang, Xiao, Lin, Chuan, Li, Fuzhang, Cao, Yijun, Li, Yongjie

“… To integrate multi-scale features into a global edge map effectively, researchers utilize classification networks such as VGG16 as the encoder and focus on the decoder architecture…”
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