Suchergebnisse - Cascade encoder–decoder

CEDNet: A cascade encoder–decoder network for dense prediction von Zhang, Gang, Li, Ziyi, Tang, Chufeng, Li, Jianmin, Hu, Xiaolin

“… -optimal performance. We propose a streamlined cascade encoder–decoder network, named CEDNet, tailored for dense prediction tasks …”
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A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection von Maneerat, Noppadol, Narkthewan, Athasart, Hamamoto, Kazuhiko

“… We describe a deep learning-based cascade algorithm for detecting TB in chest X-rays. Firstly, the lung regions were segregated from other anatomical structures by an encoder …”
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SPEDCCNN: Spatial Pyramid-Oriented Encoder-Decoder Cascade Convolution Neural Network for Crop Disease Leaf Segmentation von Yuan, Yuxia, Xu, Zengyong, Lu, Gang

“… encoder-decoder cascade convolution neural network for crop disease leaf segmentation. The network consists of a region disease detection network and a region disease segmentation network …”
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Cascade of encoder-decoder CNNs with learned coordinates regressor for robust facial landmarks detection von Valle, Roberto, Buenaposada, José M., Baumela, Luis

“… To this end we append two encoder-decoder CNNs with the same architecture. The first net produces a set of heatmaps with a rough estimation of landmark locations …”
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Cascade learning in multi-task encoder–decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans von Marsilio, Luca, Marzorati, Davide, Rossi, Matteo, Moglia, Andrea, Mainardi, Luca, Manzotti, Alfonso, Cerveri, Pietro

“… Osteoarthritis is a degenerative condition that affects bones and cartilage, often leading to structural changes, including osteophyte formation, bone density …”
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Deep Cascade Residual Networks (DCRNs): Optimizing an Encoder-Decoder Convolutional Neural Network for Low-Dose CT Imaging von Huang, Zhenxing, Chen, Zixiang, Quan, Guotao, Du, Yanfeng, Yang, Yongfeng, Liu, Xin, Zheng, Hairong, Liang, Dong, Hu, Zhanli

“… )-based image restoration methods have been proposed over the past few years. Many of these popular DL-based methods adopt an encoder-decoder framework, for instance, the residual encoder-decoder convolutional neural network …”
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Enhanced YOLOv8 for Drilling Core Image Segmentation von Yuan, Zhong, Duan, Longchen, Gao, Hui, Tan, Songheng

“… The exploration of deep formations by drilling has brought the issue of rock fragment into focus, emphasizing the need for accurate assessment of the fragment …”
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CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction von Zhang, Gang, Li, Ziyi, Tang, Chufeng, Li, Jianmin, Hu, Xiaolin

“… Multi-scale features are essential for dense prediction tasks, such as object detection, instance segmentation, and semantic segmentation. The prevailing …”
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TLTNet: A novel transscale cascade layered transformer network for enhanced retinal blood vessel segmentation von Wu, Chengwei, Guo, Min, Ma, Miao, Wang, Kaiguang

“… vessel segmentation, which consists of an encoder and a decoder and is connected between the encoder and decoder by a transscale transformer cascade module …”
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Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation von Budak, Ümit, Guo, Yanhui, Tanyildizi, Erkan, Şengür, Abdulkadir

“… Two deep encoder-decoder convolutional neural networks (EDCNN) were constructed and trained to cascade segments of both the liver and lesions in CT images with limited image quantity …”
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Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image von Grard, Matthieu, Dellandréa, Emmanuel, Chen, Liming

“… We therefore propose a multicameral design composed of subtask-specific lightweight decoder and encoder …”
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A cascade transformer-based model for 3D dose distribution prediction in head and neck cancer radiotherapy von Gheshlaghi, Tara, Nabavi, Shahabedin, Shirzadikia, Samireh, Moghaddam, Mohsen Ebrahimi, Rostampour, Nima

“… An encoder-decoder network has been developed for the segmentation task, in which the encoder consists of transformer blocks, and the decoder uses multi …”
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Towards a machine-learning-based large eddy simulation of offshore wind farms von Marefat, H. Ali, Alam, Jahrul, Pope, Kevin

“… observables derived from mixed modelling theory and Leonard decomposition. The model employs a novel encoder …”
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PWStableNet: Learning Pixel-Wise Warping Maps for Video Stabilization von Zhao, Minda, Ling, Qiang

“… As the videos captured by hand-held cameras are often perturbed by high-frequency jitters, stabilization of these videos is an essential task. Many video …”
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Fine-grained highway autonomous vehicle lane-changing trajectory prediction based on a heuristic attention-aided encoder-decoder model von Wei, Cheng, Hui, Fei, Yang, Zijiang, Jia, Shuo, Khattak, Asad J.

“… •Heuristic attention-aided encoder-decoder network is developed.•Both vehicle motion state and trajectory in the process of lane-changing are predicted …”
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Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation von Liang, Peixian, Chen, Jianxu, Zheng, Hao, Yang, Lin, Zhang, Yizhe, Chen, Danny Z.

“… The cascade decoder structure aims to conduct more effective decoding of hierarchically encoded features and is more compatible with common encoders than the known …”
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CED-Net: Crops and Weeds Segmentation for Smart Farming Using a Small Cascaded Encoder-Decoder Architecture von Khan, Abbas, Ilyas, Talha, Umraiz, Muhammad, Mannan, Zubaer Ibna, Kim, Hyongsuk

“… In this paper, we propose a semantic segmentation method based on a cascaded encoder-decoder network, namely CED-Net, to differentiate weeds from crops …”
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Is the homunculus "aware" of sensory adaptation? von Seriès, Peggy, Stocker, Alan A, Simoncelli, Eero P

“… Perception is modeled as arising from an encoder-decoder cascade, in which the encoder is defined by the probabilistic response of a population of neurons, and the decoder transforms this population …”
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Differential Attention Orientated Cascade Network for Infrared Small Target Detection von Tang, Wenjuan, Dai, Qun, Hao, Fan

“… First, the cascade feature extraction module is designed via a multilevel coplanar cascade encoder-decoder structure, which integrates the deep-level and low-level features of infrared targets and backgrounds …”
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Encoder-Decoder Based Pitch Tracking and Joint Model Training for Mandarin Tone Classification von Huang, Hao, Wang, Kai, Hu, Ying, Li, Sheng

“… We propose RNN based Encoder-Decoder framework with gating mechanism which underlying models both the state cost estimation and Viterbi back-tracing pass implemented in the RAPT algorithm …”
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