Copertina

CSC-Unet: A Novel Convolutional Sparse Coding Strategy Based Neural Network for Semantic Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tang, Haitong, He, Shuang, Yang, Mengduo, Lu, Xia, Yu, Qin, Liu, Kaiyue, Yan, Hongjie, Wang, Nizhuan
Natura:	Preprint
Pubblicazione:	2021
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Trans2Unet: Neural fusion for Nuclei Semantic Segmentation
di: Tran, Dinh-Phu, et al.
Pubblicazione: (2024)

Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation
di: Li, Xuan, et al.
Pubblicazione: (2025)

IB-AdCSCNet:Adaptive Convolutional Sparse Coding Network Driven by Information Bottleneck
di: Zou, He, et al.
Pubblicazione: (2024)

Medical Image Segmentation Using Advanced Unet: VMSE-Unet and VM-Unet CBAM+
di: Kanrar, Sayandeep, et al.
Pubblicazione: (2025)

A4-Unet: Deformable Multi-Scale Attention Network for Brain Tumor Segmentation
di: Wang, Ruoxin, et al.
Pubblicazione: (2024)

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
di: Zheng, Yu, et al.
Pubblicazione: (2023)

Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation
di: Ho, Ngoc-Vuong, et al.
Pubblicazione: (2022)

Incorporating Adaptive Sparse Graph Convolutional Neural Networks for Segmentation of Organs at Risk in Radiotherapy
di: Junjie Hu, et al.
Pubblicazione: (2024)

Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation
di: Zhang, Yixin, et al.
Pubblicazione: (2023)

Convergence Analysis for Deep Sparse Coding via Convolutional Neural Networks
di: Li, Jianfei, et al.
Pubblicazione: (2024)

You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation
di: Chen, Hongyu, et al.
Pubblicazione: (2024)

FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation
di: Xu, Jiashu
Pubblicazione: (2024)

DualSwinUnet++: An Enhanced Swin-Unet Architecture With Dual Decoders For PTMC Segmentation
di: Dialameh, Maryam, et al.
Pubblicazione: (2024)

STARFormer: A Novel Spatio-Temporal Aggregation Reorganization Transformer of FMRI for Brain Disorder Diagnosis
di: Dong, Wenhao, et al.
Pubblicazione: (2024)

STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
di: Zhang, Wei, et al.
Pubblicazione: (2024)

A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
di: Kalsoom, Atifa, et al.
Pubblicazione: (2025)

QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images
di: Nguyen-Tat, Thien B., et al.
Pubblicazione: (2025)

Neural-MCRL: Neural Multimodal Contrastive Representation Learning for EEG-based Visual Decoding
di: Li, Yueyang, et al.
Pubblicazione: (2024)

CAD-Unet: A Capsule Network-Enhanced Unet Architecture for Accurate Segmentation of COVID-19 Lung Infections from CT Images
di: Dang, Yijie, et al.
Pubblicazione: (2024)

Efficient Computation of Multi‐State Survival Signature Based on Graph Neural Network
di: Bowei Li, et al.
Pubblicazione: (2026)

Toward Robust, Reproducible, and Widely Accessible Intracranial Language Brain-Computer Interfaces: A Comprehensive Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions
di: He, Dongyi, et al.
Pubblicazione: (2026)

Lean Unet: A Compact Model for Image Segmentation
di: Hassler, Ture, et al.
Pubblicazione: (2025)

Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
di: Zhou, Ruojun, et al.
Pubblicazione: (2024)

A Novel Approach to Optimizing Convolutional Neural Networks for Improved Digital Image Segmentation
di: Kongduo Xing, et al.
Pubblicazione: (2024)

CSC-MPPI: A Novel Constrained MPPI Framework with DBSCAN for Reliable Obstacle Avoidance
di: Park, Leesai, et al.
Pubblicazione: (2025)

DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation
di: Guo, Zilu, et al.
Pubblicazione: (2024)

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
di: Zhou, Rong, et al.
Pubblicazione: (2024)

Quantum Sparse Coding and Decoding Based on Quantum Network
di: Ji, Xun, et al.
Pubblicazione: (2024)

Convolutional Neural Network‐Based CT Image Segmentation of Kidney Tumours
di: Cong Hu, et al.
Pubblicazione: (2024)

CSC: Turning the Adversary's Poison against Itself
di: Shi, Yuchen, et al.
Pubblicazione: (2026)

STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
di: Vasa, Vamsi Krishna, et al.
Pubblicazione: (2024)

Correction to “A Novel Convolutional Neural Network for Automated Multiple Sclerosis Brain Lesion Segmentation”
Pubblicazione: (2025)

Blind Recognition Algorithm of Convolutional Code via Convolutional Neural Network
di: Pan Deng, et al.
Pubblicazione: (2025)

MambaReg: Mamba-Based Disentangled Convolutional Sparse Coding for Unsupervised Deformable Multi-Modal Image Registration
di: Wen, Kaiang, et al.
Pubblicazione: (2024)

Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks
di: Kymn, Christopher J., et al.
Pubblicazione: (2024)

A Semantic Segmentation Algorithm for Pleural Effusion Based on DBIF-AUNet
di: Tang, Ruixiang, et al.
Pubblicazione: (2025)

Semantic Segmentation of Anomalous Diffusion Using Deep Convolutional Networks
di: Qu, Xiang, et al.
Pubblicazione: (2023)

Neural Coding Is Not Always Semantic: Toward the Standardized Coding Workflow in Semantic Communications
di: Qin, Hai-Long, et al.
Pubblicazione: (2025)

High-Order Tensor Regression in Sparse Convolutional Neural Networks
di: Algarte, Roberto Dias
Pubblicazione: (2025)

Betti Numbers for Modules Over Artinian Local Rings
di: He, Kaiyue
Pubblicazione: (2025)