Suchergebnisse - pyramid autoencoder

Adaptive Temporal–Spatial Pyramid Variational Autoencoder Model for Multirate Dynamic Chemical Process Soft Sensing Application von Shen, Bingbing, Yang, Zeyu, Yao, Le

“… This paper innovatively proposes a temporal–spatial pyramid variational autoencoder (TS-PVAE) model for the nonlinear temporal …”
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A steerable pyramid autoencoder based framework for anomaly frame detection of water pipeline CCTV inspection von Jiao, Yutong, Rayhana, Rakiba, Bin, Junchi, Liu, Zheng, Wu, Angie, Kong, Xiangjie

“… Thus, the inspector can focus more on these anomaly frames. In this paper, an anomaly frame detection framework based on steerable pyramid autoencoder (SPAE) is proposed …”
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Multi‐scale feature fusion pyramid attention network for single image dehazing von Liu, Jianlei, Liu, Peng, Zhang, Yuanke

“… ‐scale feature fusion pyramid attention network (PAN) for single image dehazing is proposed …”
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Laplacian Pyramid-like Autoencoder von Han, Sangjun, Hur, Taeil, Hur, Youngmi

“… In this paper, we develop the Laplacian pyramid-like autoencoder (LPAE) by adding the Laplacian pyramid (LP …”
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Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications von Shen, Bingbing, Yao, Le, Ge, Zhiqiang

“… multirate modeling in the data-driven soft sensor development. In this work, a multiresolution pyramid variational autoencoder (MR-PVAE …”
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Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder von Shi, Hongmei, Chen, Jingcheng, Si, Jin, Zheng, Changchang

“… diagnosis methods deteriorate sharply. In this regard, this paper proposes a new intelligent diagnosis algorithm for rolling bearing faults based on a residual dilated pyramid network and full convolutional denoising autoencoder (RDPN-FCDAE …”
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SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs von Yu, Lijun, Cheng, Yong, Wang, Zhiruo, Kumar, Vivek, Macherey, Wolfgang, Huang, Yanping, Ross, David A, Essa, Irfan, Bisk, Yonatan, Ming-Hsuan Yang, Murphy, Kevin, Hauptmann, Alexander G, Lu, Jiang

“… In this work, we introduce Semantic Pyramid AutoEncoder (SPAE) for enabling frozen LLMs to perform both understanding and generation tasks involving non-linguistic modalities such as images or videos …”
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PM-AE: Pyramid Memory Autoencoder for Unsupervised Textured Surface Defect Detection von Yao, Haiming, Li, Dan, Zhu, Yiwen, Yu, Wenyong

“… To this end, this paper proposes an efficient pyramid memory autoencoder. A new approach is developed by reconstructing background texture using autoencoder neural networks with multi-scale spatial pyramid pooling module and affinity memory module …”
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Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model von Mei, Shuang, Wang, Yudan, Wen, Guojun

“… This approach is used to reconstruct image patches with a convolutional denoising autoencoder network at multiple Gaussian pyramid levels and to synthesize detection results from the corresponding resolution channels …”
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Improved Pixel-Level Pavement-Defect Segmentation Using a Deep Autoencoder von Augustauskas, Rytis, Lipnickas, Arūnas

“… In this research, we addressed pavement-quality evaluation by pixelwise defect segmentation using a U-Net deep autoencoder …”
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Sparse autoencoder based spatial pyramid facial feature learning von Ma Xiao, Jufu Feng

“… In this paper, we propose a novel Sparse Autoencoder based Spatial Pyramid Matching (SaSPM) method, which exploits unsupervised sparse autoencoder network infeatures learning and then builds a spatial pyramid structure …”
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Micro-motion Signal Enhancement via Convolutional Autoencoder Equipped with Multi-scale Feature Pyramid von Zhang, Honglei, Tang, Minglei, Zhang, Wenpeng, Yang, Wei, Jiang, Weidong

“… In this paper, we propose a novel micro-motion signal enhancement method based on the multi-scale feature pyramid structure and convolutional autoencoder …”
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Spatial Pyramid Pooling based Convolutional Autoencoder Network for Loop Closure Detection von Xiang, Rong, Liu, Yuan, Zhang, Qieshi, Cheng, Jun

“… Loop closure detection is a crucial module in simultaneous localization and mapping (SLAM), which reduces accumulative error in building environment map …”
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Health indicator adaptive construction method of rotating machinery under variable working conditions based on spatiotemporal fusion autoencoder von Duan, Yong, Cao, Xiangang, Zhao, Jiangbin, Li, Man, Yang, Xin, Zhao, Fuyuan, Zhang, Xinyuan

“… •HCPTSCAE proposes an autoencoder with adaptive weight to construct HI automatically. Health indicators (HI) can effectively reveal potential faults and express …”
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DILC-ESAE: Data-Info envelope stacked autoencoder on correlation among samples rather than themselves von Ma, Jie, Zhou, Chuanyan, Fan, Zhixuan, Li, Yongming, Shen, Yinghua, Pedrycz, Witold, Wang, Pin

“… Stacked autoencoders (SAEs) are a powerful and popular tool for structured classification …”
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Attention-based vector quantized variational autoencoder for anomaly detection by using orthogonal subspace constraints von Yu, Qien, Dai, Shengxin, Dong, Ran, Ikuno, Soichiro

“… This paper introduces a new framework that uses a vector quantized variational autoencoder (VQVAE …”
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Improved spatial pyramid matching for scene recognition von Xie, Lin, Lee, Feifei, Liu, Li, Yin, Zhong, Yan, Yan, Wang, Weidong, Zhao, Junjie, Chen, Qiu

“… •A new spatial partition scheme combined with modified pyramid matching kernel based on spatial pyramid matching is proposed …”
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Pyramid-VAE-GAN: Transferring hierarchical latent variables for image inpainting von Tian, Huiyuan, Zhang, Li, Li, Shijian, Yao, Min, Pan, Gang

“… In this paper, we propose the Pyramid-VAE-GAN network for image inpainting to address this limitation …”
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Triple-Gated Bidirectional Variational Pyramid Network for Multirate Industrial Soft Sensing von He, Yan-Lin, Zhang, Wei, Chen, Lei, Xu, Yuan, Zhu, Qun-Xiong, Gao, Huihui

“… In light of this, a novel soft sensor model named triple-gated bidirectional variational pyramid network (G3-BiVPN) is proposed …”
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Refined Multi-Focus image fusion using Multi-Scale neural network with SpSwin Autoencoder-based matting von Jiang, Shengchuan, Yu, Shanchuan

“… ) Autoencoder-based matting for the multi-focus image fusion (MFIF) task. The proposed strategy introduces several innovations to enhance image quality and address challenges like boundary precision and texture preservation …”
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