Suchergebnisse - Asymmetric encoder–decoder architecture

Ghost-UNet: An Asymmetric Encoder-Decoder Architecture for Semantic Segmentation From Scratch von Kazerouni, Iman Abaspur, Dooly, Gerard, Toal, Daniel

“… for them. In this paper, we propose a deep architecture for semantic segmentation from scratch based on an asymmetry encoder- decoder architecture …”
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NAG-Net: Nested attention-guided learning for segmentation of carotid lumen-intima interface and media-adventitia interface von Huang, Qinghua, Zhao, Liangrun, Ren, Guanqing, Wang, Xiaoyi, Liu, Chunying, Wang, Wei

“… Cardiovascular diseases (CVD), as the leading cause of death in the world, poses a serious threat to human health. The segmentation of carotid Lumen-intima …”
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FS-MSFormer: Image Dehazing Based on Frequency Selection and Multi-Branch Efficient Transformer von Tang, Chunming, Wang, Yu

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Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation von Wang, Yu, Zhou, Quan, Liu, Jia, Xiong, Jian, Gao, Guangwei, Wu, Xiaofu, Latecki, Longin Jan

“… In this paper, we present a lightweight network to address this problem, namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic segmentation …”
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Towards Real-time High-Definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-decoder Architecture von Tian Ye, Chen, Sixiang, Liu, Yun, Ye, Yi, Chen, Erkang

“… We develop a novel Efficient Pyramid Network with asymmetrical encoder-decoder architecture for real-time HD image desnowing …”
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Detecting energy consumption anomalies with dynamic adaptive encoder-decoder deep learning networks von Zhang, Limao, Guo, Jing, Lin, Penghui, Tiong, Robert L.K.

“… , or even potential hazards within the building systems. To address this problem, this study introduces an Asymmetric Hybrid Encoder-Decoder (AHED …”
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SSRF-Net: A Stagewise Scheduled Rainfall Forecasting Network With an Asymmetric Architecture von Luo, Wenjie, Li, Chaorong, Ling, Xudong, Deng, Chuanhu, Wang, Zhuo

“… We design an asymmetric encoder-decoder (E-D) architecture featuring a differential selective encoder (DSE …”
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CoAtUNet: A symmetric encoder-decoder with hybrid transformers for semantic segmentation of breast ultrasound images von Zaidkilani, Nadeem, Garcia, Miguel Angel, Puig, Domenec

“… –decoder architecture in which CoAtNet is applied to both branches. CoAtUNet is specifically designed for tumor segmentation in breast ultrasound (BUS …”
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Multiscale Underwater Image Enhancement in RGB and HSV Color Spaces von Liu, Chufan, Shu, Xin, Pan, Lei, Shi, Jinlong, Han, Bin

“… Second, the corrected multiscale images are fed into a deep learning-based asymmetric multiscale encoder-decoder architecture, which works in RGB and HSV color spaces to extract rich and varied …”
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LAANet: lightweight attention-guided asymmetric network for real-time semantic segmentation von Zhang, Xiuling, Du, Bingce, Wu, Ziyun, Wan, Tingbo

“… ), which adopts an asymmetric encoder–decoder architecture. In the encoder, we propose an efficient asymmetric bottleneck (EAB …”
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Lightweight and efficient asymmetric network design for real-time semantic segmentation von Zhang, Xiu-Ling, Du, Bing-Ce, Luo, Zhao-Ci, Ma, Kai

“… ) for real-time semantic segmentation is proposed to address this problem. Specifically, LEANet adopts an asymmetric encoder-decoder architecture …”
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LSCMNet: A Lightweight Segmentation Network Based on Co-Occurring Matrix for Seismic Image von Fan, Linqian, Lu, Wenkai, Wang, Yonghao

“… ). The overall architecture of LSCMNet employs an asymmetric encoder-decoder structure. The encoder mainly consists of a lightweight bottleneck that integrates the parametric co-occurrence matrix (CM …”
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Road extraction from remote sensing images based on a multi-scale asymmetric dual attention mechanism von Qu, Shenming, Liu, Suchen, Han, Fengyu, Xie, Yuan

“… We proposed an encoder-decoder architecture based on a multi-scale asymmetric dual attention mechanism …”
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Masked Autoencoders Are Scalable Vision Learners von He, Kaiming, Chen, Xinlei, Xie, Saining, Li, Yanghao, Dollar, Piotr, Girshick, Ross

“… It is based on two core designs. First, we develop an asymmetric encoder-decoder architecture, with an encoder that operates only on the visible subset of patches (without mask tokens …”
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SCFormer: Spectral Coordinate Transformer for Cross-Domain Few-Shot Hyperspectral Image Classification von Li, Jiaojiao, Zhang, Zhiyuan, Song, Rui, Li, Yunsong, Du, Qian

“… In this paper, we propose an asymmetric encoder-decoder architecture, Spectral Coordinate Transformer (SCFormer …”
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Hyperspectral Image Denoising via Quasi-Recursive Spectral Attention and Cross-Layer Feature Fusion von Xiao, Yanhua, Zhou, Huayan, Li, Wenfeng, Yang, Long, Wang, Ke

“… Hyperspectral images (HSIs) contain rich spatial–spectral information but are highly susceptible to various types of noise during the imaging process, which …”
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ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation von Ma, Yuliang, Wu, Liping, Gao, Yunyuan, Gao, Farong, Zhang, Jianhai, Luo, Zhizeng

“… To address these challenges, we propose an ultralightweight fully asymmetric convolutional network for skin lesion segmentation, called ULFAC-Net …”
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TSVT: Token Sparsification Vision Transformer for robust RGB-D salient object detection von Gao, Lina, Liu, Bing, Fu, Ping, Xu, Mingzhu

“… SOD, named TSVT, that explicitly extracts global-local multi-modality features with sparse tokens. The TSVT is an asymmetric encoder …”
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FRNet: Factorized and Regular Blocks Network for Semantic Segmentation in Road Scene von Lu, Mengxu, Chen, Zhenxue, Wu, Q. M. Jonathan, Wang, Nannan, Rong, Xuewen, Yan, Xinghe

“… ), which employs an asymmetric encoder-decoder architecture with Factorized and Regular (FR) blocks. Our method achieves …”
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AMGSN: Adaptive mask-guide supervised network for debiased facial expression recognition von Gu, Tianlong, Li, Hao, Feng, Xuan, Luo, Yiqin

“… Specifically, we employ an asymmetric encoder–decoder architecture, where the encoder encodes only the unmasked visible regions, while the lightweight decoder reconstructs the original …”
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