Výsledky vyhľadávania - "Encoder-Decoder Architectures"

Deep Learning-Based Automated Extraction of Anthropometric Measurements From a Single 3-D Scan Autor Kaashki, Nastaran Nourbakhsh, Hu, Pengpeng, Munteanu, Adrian

“…The appearance of 3-D scanners, generating point clouds, has revolutionized anthropometric data collection systems and their applications. Anthropometric data…”
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Efficient compression of encoder-decoder models for semantic segmentation using the separation index Autor Jamshidi, Movahed, Kalhor, Ahmad, Vahabie, Abdol-Hossein

“…We present a novel approach to compressing encoder–decoder architectures, particularly in semantic segmentation tasks, by leveraging the Separation Index…”
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Efficient structuring of the latent space for controllable data reconstruction and compression Autor Trunz, Elena, Weinmann, Michael, Merzbach, Sebastian, Klein, Reinhard

“…Explainable neural models have gained a lot of attention in recent years. However, conventional encoder–decoder models do not capture information regarding the…”
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Fitting an immersed submanifold to data via Sussmann’s orbit theorem Autor Hanson, Joshua, Raginsky, Maxim

“…This paper describes an approach for fitting an immersed submanifold of a finite-dimensional Euclidean space to random samples. The reconstruction mapping from…”
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Implementation of a Conditional Latent Diffusion-Based Generative Model to Synthetically Create Unlabeled Histopathological Images Autor Rumman, Mahfujul Islam, Ono, Naoaki, Ohuchida, Kenoki, Nasution, Ahmad Kamal, Alqaaf, Muhammad, Altaf-Ul-Amin, Md, Kanaya, Shigehiko

“…Generative image models have revolutionized artificial intelligence by enabling the synthesis of high-quality, realistic images. These models utilize deep…”
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Preserving Speaker Identity in Speech-to-Speech Translation: An Exploration of Attention-Based Approaches Autor Jaybhaye, S. M, Lale, Yogesh, Kulkarni, Parth, Diwnale, Tanvi, Kota, Apurva

“…Effective speech-to-speech translation (STST) requires not only accurate linguistic conversion but also preservation of the speaker's unique vocal identity…”
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Optimizing Multi-Class Change Segmentation in High-Resolution Satellite Imagery With a Siamese Network for Low-Resource Environments Autor Srivastava, Noopur, Jain, Kamal

“…This work focuses on multi-class change segmentation to quantify alterations between temporal images. Unlike traditional binary change detection, which…”
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Multi-Modal Learning with Joint Image-Text Embeddings and Decoder Networks Autor Chemmanam, Ajai John, Jose, Bijoy A, Moopan, Asif

“…Advances in machine learning and neural networks have transformed natural language processing (NLP) and computer vision (CV) applications. Recent research…”
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SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation Autor de Oliveira Junior, Luiz Antonio, Medeiros, Heitor R., Macedo, David, Zanchettin, Cleber, Oliveira, Adriano L. I., Ludermir, Teresa

“…Semantic segmentation is an essential task in computer vision that aims to label each image pixel. Several of the actual best approaches in this context are…”
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MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation Autor Gao, Guangwei, Xu, Guoan, Yu, Yi, Xie, Jin, Yang, Jian, Yue, Dong

“…In recent years, how to strike a good trade-off between accuracy, inference speed, and model size has become the core issue for real-time semantic segmentation…”
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A tutorial review of neural network modeling approaches for model predictive control Autor Ren, Yi Ming, Alhajeri, Mohammed S., Luo, Junwei, Chen, Scarlett, Abdullah, Fahim, Wu, Zhe, Christofides, Panagiotis D.

“…An overview of the recent developments of time-series neural network modeling is presented along with its use in model predictive control (MPC). A tutorial on…”
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Automated pancreatic mass segmentation in computer tomography images using a voting ensemble method based on encoder-decoder architectures Autor Araújo, Alexandre de Carvalho, de Almeida, João Dallyson Sousa, de Paiva, Anselmo Cardoso, Júnior, Geraldo Braz

“…Pancreatic cancer poses significant challenges in early diagnosis, with a high mortality rate of 98%, and is responsible for 4.7% of cancer deaths. Early…”
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Multi-scale feature fusion network for pixel-level pavement distress detection Autor Zhong, Jingtao, Zhu, Junqing, Huyan, Ju, Ma, Tao, Zhang, Weiguang

“…Automatic pavement distress detection is essential to monitoring and maintaining pavement condition. Currently, many deep learning-based methods have been…”
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WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects Autor Nag, Subhrajit, Makwana, Dhruv, R, Sai Chandra Teja, Mittal, Sparsh, Mohan, C.Krishna

“…As the integration density and design intricacy of semiconductor wafers increase, the magnitude and complexity of defects in them are also on the rise. Since…”
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End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet Autor Peng, Daifeng, Zhang, Yongjun, Guan, Haiyan

“…Change detection (CD) is essential to the accurate understanding of land surface changes using available Earth observation data. Due to the great advantages in…”
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MITP-Net: A deep-learning framework for short-term indoor temperature predictions in multi-zone buildings Autor Xing, Tian, Sun, Kailai, Zhao, Qianchuan

“…Indoor temperature prediction is an essential component of building control and energy saving. Although existing indoor temperature prediction frameworks have…”
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Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Data Sets Autor Ghassemi, Sina, Fiandrotti, Attilio, Francini, Gianluca, Magli, Enrico

“…This paper addresses the problem of training a deep neural network for satellite image segmentation so that it can be deployed over images whose statistics…”
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Seismic Facies Analysis Based on Deep Learning Autor Zhang, Yuxi, Liu, Yang, Zhang, Haoran, Xue, Hao

“…Seismic facies analysis is to study the sedimentary environment of stratigraphic sequence and provides an important basis for reservoir prediction. Most of the…”
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DGCN-ED: dynamic graph convolutional networks with encoder-decoder structure and its application for airborne LiDAR point classification Autor Chen, Yang, Xing, Yin, Li, Xiao, Gao, Wei

“…Achieving high-precision automatic classification in real-world applications for airborne laser scanning point clouds is a challenging task duo to their…”
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Deep Road Scene Understanding Autor Zhou, Wujie, Lv, Sijia, Jiang, Qiuping, Yu, Lu

“…Road scene understanding is a difficult task in autonomous driving. In this letter, we propose a novel deep encoder-decoder architecture for road scene…”
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