Search Results - dense nested interactive module

Dense Nested Attention Network for Infrared Small Target Detection.

Authors: Li, Boyang Xiao, Chao Wang, Longguang et al.

Source: IEEE Transactions on Image Processing; 2023, Vol. 32, p1745-1758, 14p

Subject Terms: OBJECT recognition (Computer vision), FEATURE extraction, DEEP learning, ANNOTATIONS, PROBABILITY theory

MLEDNet: Multi-Directional Learnable Edge Information-Assisted Dense Nested Network for Infrared Small Target Detection.

Authors: Li, Yong Kang, Wenjie Zhao, Wei et al.

Source: Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3547, 16p

Subject Terms: EDGE detection (Image processing), IMAGE processing, INFRARED detectors, ARTIFICIAL neural networks

Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network.

Authors: Du, Xinyue Cheng, Ke Zhang, Jin et al.

Source: Sensors (14248220); Feb2025, Vol. 25 Issue 3, p814, 16p

Subject Terms: DETECTION algorithms, FEATURE extraction, FALSE alarms, PYRAMIDS, DEEP learning, DETECTORS

Dense Nested Attention Network for Infrared Small Target Detection

Authors: Li, Boyang Xiao, Chao Wang, Longguang et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2106.00487

Adaptive Global Dense Nested Reasoning Network into Small Target Detection in Large-Scale Hyperspectral Remote Sensing Image.

Authors: Zhan, Siyu Yang, Yuxuan Zhong, Muge et al.

Source: Remote Sensing; Mar2025, Vol. 17 Issue 6, p948, 28p

Subject Terms: KNOWLEDGE graphs, DEEP learning, LAND cover, PRIOR learning, ALGORITHMS

Multi-scale image edge detection based on spatial-frequency domain interactive attention.

Authors: Guo, Yongfei Li, Bo Zhang, Wenyue et al.

Source: Frontiers in Neurorobotics; 2025, p1-13, 13p

Subject Terms: COMPUTER vision, VISUAL fields, NETWORK performance, APPLICATION software

Multi-Model Emotion Recognition from voice, face, and text sources using optimized Equivariant Quantum Dense Nested Neural Networks.

Authors: Murugesan, K. Sivakumar, S. Venkatesh, J. et al.

Source: Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p12675-12684, 10p

Subject Terms: EMOTION recognition, VIDEO signals, EMOTIONS, LIGHT filters, FEATURE extraction

Night-Time Vessel Detection Based on Enhanced Dense Nested Attention Network.

Authors: Zuo, Gao Zhou, Ji Meng, Yizhen et al.

Source: Remote Sensing; Mar2024, Vol. 16 Issue 6, p1038, 17p

Subject Terms: AUTOMATIC identification, FEATURE extraction, MARITIME management, REMOTE sensing, ENVIRONMENTAL protection, DEEP learning

HEART SAVIOUR: A Dense Network Four Way Transformer Network for Remote Heart Disease Monitoring using Medical Sensors for Blockchain Cloud Assisted Healthcare.

Authors: Geetha, S. Vigenesh, M. Santhosh, R.

Source: Journal of Cybersecurity & Information Management; 2025, Vol. 15 Issue 1, p101-114, 14p

Subject Terms: BLOCKCHAINS, TRANSFORMER models, DEEP learning, EDGE computing, HEART diseases

Attention-nested dual-branch network in real-time semantic segmentation.

Authors: Xing, Jiali Jia, Siming Zheng, Lintao et al.

Source: International Journal of Machine Learning & Cybernetics; Nov2025, Vol. 16 Issue 11, p9649-9664, 16p

DCSC Mamba: A Novel Network for Building Change Detection with Dense Cross-Fusion and Spatial Compensation.

Authors: Xu, Rui Mao, Renzhong Yang, Yihui et al.

Source: Information; Nov2025, Vol. 16 Issue 11, p975, 16p

Subject Terms: REMOTE sensing, URBAN planning, ENVIRONMENTAL monitoring, ARTIFICIAL neural networks, INFORMATION networks, CHANGE-point problems

TlED-Net: optimizing semantic segmentation via triple-loop encoder-decoder architecture with dense skip connections.

Authors: Wei, Yuanhong Wang, Yuefei

Source: Visual Computer; Oct2025, Vol. 41 Issue 13, p10691-10722, 32p

Subject Terms: IMAGE segmentation, FEATURE extraction, COMPUTER-assisted image analysis (Medicine), ARTIFICIAL neural networks

Medical Image Segmentation Network Based on Dual-Encoder Interactive Fusion.

Authors: Yang, Hong Fan, Yong Yang, Ping

Source: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 7, p3785, 16p

Subject Terms: COMPUTER-assisted image analysis (Medicine), DEEP learning, CONVOLUTIONAL neural networks, TRANSFORMER models, COLON polyps

Multi-interactive feature embedding learning for medical image segmentation.

Authors: Huang, Yijia Luo, Yue

Source: Frontiers in Medicine; 2025, p1-16, 16p

A Dual-Stream Dental Panoramic X-Ray Image Segmentation Method Based on Transformer Heterogeneous Feature Complementation.

Authors: Ma, Tian Li, Jiahui Dang, Zhenrui et al.

Source: Technologies (2227-7080); Jul2025, Vol. 13 Issue 7, p293, 23p

Subject Terms: DENTAL radiography, IMAGE segmentation, MACHINE learning, DENTAL extraction, TRANSFORMER models, CONVOLUTIONAL neural networks, EDGE detection (Image processing), IMAGE processing

Enhanced salient object detection in remote sensing images via dual-stream semantic interactive network.

Authors: Ge, Yanliang Liang, Taichuan Ren, Junchao et al.

Source: Visual Computer; May2025, Vol. 41 Issue 7, p5153-5169, 17p

Subject Terms: CONVOLUTIONAL neural networks, REMOTE sensing, TRANSFORMER models

Multiscale transformers and multi-attention mechanism networks for pathological nuclei segmentation.

Authors: Du, Yongzhao Chen, Xin Fu, Yuqing

Source: Scientific Reports; 4/16/2025, Vol. 15 Issue 1, p1-14, 14p

Subject Terms: ARTIFICIAL intelligence, COMPUTER-aided diagnosis, IMAGE segmentation, TRANSFORMER models, IMAGE processing

Learning to remove occlusions in light field images using multiscale receptive fields and feature pyramid networks.

Authors: Senussi, Mostafa Farouk Abdalla, Mahmoud Kasem, Mahmoud SalahEldin et al.

Source: Scientific Reports; 10/22/2025, Vol. 15 Issue 1, p1-17, 17p

Subject Terms: DEEP learning, RECEPTIVE fields (Neurology), IMAGE reconstruction, LIGHT-field cameras, NEURAL computers, IMAGE processing

Nested named entity recognition in traditional Chinese medicine electronic medical records via dual-granularity feature augmentation and span classification.

Authors: Minghao, Luo Qing, Ye Chunlei, Cheng et al.

Source: Scientific Reports; 11/3/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: CHINESE medicine, ELECTRONIC health records, DATA mining, INFORMATION retrieval, SEMANTICS

Guided-YNet: Saliency Feature-Guided Interactive Feature Enhancement Lung Tumor Segmentation Network.

Authors: Zhou, Tao Pan, Yunfeng Lu, Huiling et al.

Source: Computers, Materials & Continua; 2024, Vol. 80 Issue 3, p4813-4832, 20p

Subject Terms: POSITRON emission tomography, COMPUTER-aided diagnosis, IMAGE segmentation, DIAGNOSTIC imaging, LUNG tumors