CCNet: Criss-Cross Attention for Semantic Segmentation

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474

Attention Is All You Need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404

U-Net: Convolutional Networks for Biomedical Image Segmentation

Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404

Microsoft COCO: Common Objects in Context

Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., & Zitnick, C. L. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10602-1_48 · Cited by 45,460

Fully convolutional networks for semantic segmentation

Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834

Mask R-CNN

He, K., Gkioxari, G., Dollar, P., & Girshick, R. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.322 · Cited by 29,137

Semi-supervised classification with graph convolutional networks

Kipf, T. N., & Welling, M. (2016) · arXiv · doi:10.48550/arxiv.1609.02907 · Cited by 24,853

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2699184 · Cited by 22,392

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2016) · arXiv · doi:10.48550/arxiv.1606.00915 · Cited by 22,392

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., & Adam, H. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01234-2_49 · Cited by 20,054

FCUnet: An Underwater Image Enhancement Hybrid Network via Fused Feature‐Guided Cross‐Attention

Zhu, J., Wang, H., Chen, Z., Zhang, L., & Ma, C. (2025) · IET Image Processing · doi:10.1049/ipr2.70184 · Cited by 1

Semantic-Aware Wavelet Transformer for Pyramid Learning Object Detection

Li, Y., Jiao, L., Liu, X., Liu, F., Li, L., & Chen, P. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3604963 · Cited by 1

Deep cross-visual semantic hashing with self-calibrated collaborative attention

Feng, H., Zhou, X. S., Wu, Y., Zhou, J., & Zhao, B. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.113937 · Cited by 1

DCCUNet: A double cross-shaped network for pathology image segmentation

Zhu, S., Li, Y., Yan, Y., Mao, T., & Dai, X. (2025) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2025.110744 · Cited by 1

Enhanced Small Target Detection in Optical Remote Sensing Images using CAC-RetinaNet with Multi-Scale Feature Fusion and Context Attention

Li, J., Wang, X., Guo, H., Wang, X. H., & Wang, M. (2025) · Chinese Control Conference (CCC) · doi:10.23919/ccc64809.2025.11179622 · Cited by 1

CASA-Net: a context-aware and self-attention network for medical image segmentation

Xie, X., Wu, X., Pan, L., Wei, H., & Shu, X. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.109097 · Cited by 1

EASNet: Edge-aware Segmentation Network for Skin Lesion Segmentation with Boundary-aware and Frequency Attention Mechanisms

Yu, J., Xia, Y., Li, J., Liu, N., Li, H., & Shi, W. (2025) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-025-00796-2 · Cited by 1

A Deep Origin-Destination Flow Imputation Model Informed by the Visitation Law in Human Mobility

Wang, S., & Zhu, D. (2025) · ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS) · doi:10.1145/3748636.3766527 · Cited by 1

MSA-GAN: Multistructure Adaptive Generative Adversarial Network for Semi-Supervised Remote Sensing Road Extraction

Dang, Y., Liu, W., Liu, B., & Li, H. (2025) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2025.3645558 · Cited by 1

Spatial–Frequency Feature Coupling Network for Semantic Segmentation of Remote Sensing Images

Tian, S., Lu, Z., & Xu, F. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3645809 · Cited by 1

Crack segmentation by severity in 3D asphalt pavement images using deep learning models

Contreras, F., Osorio-Lird, A., & Allende‐Cid, H. (2025) · International Journal of Pavement Engineering · doi:10.1080/10298436.2025.2606111 · Cited by 1

A Novel Scene Segmentation Network for Mars Rover Images Incorporating an Enhanced ASPP and a Context Refinement Module

Xu, X., Cheng, T., Chen, Q., Feng, Y., Xie, H., Wang, C., Jin, Y., & Tong, X. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3648935 · Cited by 1

Laser Stripe Segmentation of Pipeline Welds Based on the MSDA_UNet Network

Li, Z., Yu, G. X., & Zhang, J. (2025) · International Conference on Algorithms, Data Mining, and Information Technology (ADMIT) · doi:10.1109/admit67050.2025.11337209 · Cited by 1

Edge-Guided and Multiscale Feature Optimization-Based Semantic Segmentation Network for Remote Sensing Images

Zhou, C., Cai, B., Xiong, C., & Liu, R. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3660697 · Cited by 1

MMANet: A semantic segmentation fusion network for autonomous bulldozers in field earthwork construction sites

Gao, H., Wang, J., Wang, X., Li, D., Meng, X., Lu, K., & Deng, L. (2026) · Neurocomputing · doi:10.1016/j.neucom.2026.133341 · Cited by 1

High-frequency geometry enhanced graph attention network for hyperspectral and multispectral image fusion

Ma, Z., Yang, C., Guo, Z., & Li, Y. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113592 · Cited by 1

Interaction-Driven Edge Crisping for Underwater Salient Object Detection

Mi, Z., Jiang, S., Li, Y., Li, G., Zhang, J., Wang, H., & Fu, X. (2026) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2026.3679543 · Cited by 1

LGF-Net: Local Geometry-Aware Fusion Network for Cross-Modal 3D Semantic Segmentation

Li, T., Chen, X., Zhang, J., Mou, T. S., Huang, S., Zhong, H., & Qi, Z. (2026) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2026.3682336 · Cited by 1

Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks

Ganter, J., Löffler, S., Metzger, R., Ußling, K., & Müller, C. E. (2021) · Journal of Imaging · doi:10.3390/jimaging7080146 · Cited by 1

Weakly Supervised Road Garbage Quantification System Based on WCCA

Fan, R., FAN, X., SUN, H., CHEN, J., & Yang, J. (2022) · International Conference on Pattern Recognition and Intelligent Systems (PRIS) · doi:10.1145/3549179.3549187 · Cited by 1

Segmentation of Ship Satellite Images with Transfer Learning and Attention Mechanism

Li, L., Er, M. J., Li, Q., & Zhang, Y. (2022) · Intelligent Autonomous Systems · doi:10.1109/icoias56028.2022.9931268 · Cited by 1

Visualization of Convolutional Neural Networks with Attention Mechanism

Yuan, M., Bao, T., & Lin, D. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-23741-6_8 · Cited by 1

GRAF: Gap region aware framework for Al-Si alloy microscopic image segmentation

Liu, Y., Yang, X., Jin, K., Yin, J., & Shen, T. (2023) · Computational Materials Science · doi:10.1016/j.commatsci.2023.112620 · Cited by 2

Background-Adaptive Surface Defect Detection Neural Networks via Positive Samples

Niu, T., Chen, B., Wang, Z., Zhang, R., & Li, B. (2023) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon51785.2023.10312239 · Cited by 1

Remote sensing image super-resolution based on cross residual compensation mechanism and attention mechanism

Liu, J., & Yang, X. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17645-3 · Cited by 1

Landmark-Assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning

Yang, Y., Hu, Q., Lu, H., Jiang, F., & Li, Y. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-8148-9_8 · Cited by 1

The Improved Inception Networks based on Attention Mechanism

Yu, Y., Sun, Y., & Cao, Y. (2023) · doi:10.1145/3635175.3635177 · Cited by 1

MFEFNet: Multi-scale Feature Extraction and Fusion Network for Semantic Segmentation of Remote Sensing Images

Jiang, W., Fu, J., Lyu, X., Xu, Z., Wu, C., Fang, Y., Li, X., & Yu, J. (2023) · Asia Conference on Advanced Robotics, Automation, and Control Engineering (ARACE) · doi:10.1109/arace60380.2023.00019 · Cited by 1

Collision-Free Path Generation for Teleoperation of Unmanned Vehicles

Kashwani, F., Hassan, B., Khonji, M., & Dias, J. M. M. (2023) · International Conference on Advanced Robotics (ICAR) · doi:10.1109/icar58858.2023.10406579 · Cited by 1

Semantic segmentation of diseases in mushrooms using Enhanced Random Forest

Yacharam, R. K., & Sekhar, V. C. (2023) · Machine Graphics and Vision · doi:10.22630/mgv.2023.32.2.7 · Cited by 1

ABNet: An Aggregated Backbone Network Architecture for Fine Landcover Classification

Si, B., Wang, Z., Yu, Z., & Wang, K. (2024) · Remote Sensing · doi:10.3390/rs16101725 · Cited by 2

Aircraft Part Recognition from Drones’ Perspective Based on Semantic Segmentation

Xiang, B., Chang, H., & Ye, Y. (2024) · IEEE International Conference on Electronic Information and Communication Technology (ICEICT) · doi:10.1109/iceict61637.2024.10671067 · Cited by 1

An improved face attributes editing method based on DDIM

He, L., Chen, Q., Pang, Y., Wang, M., Wu, Y., Liu, L., & Qiang, Z. (2024) · Scientific Reports · doi:10.1038/s41598-024-78378-3 · Cited by 1

Edge Activating Module: Learning edge-to-edge features for mobility flow generation

Wang, S., & Zhu, D. (2024) · ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI) · doi:10.1145/3687123.3698281 · Cited by 1

Robust Extrinsic Calibration for LiDAR-Camera Systems via Depth and Height Complementary Supervision Network

Chen, Y., & Wang, H. (2025) · IEEE Access · doi:10.1109/access.2025.3542279 · Cited by 1

Line-of-Sight Depth Attention for Panoptic Parsing of Distant Small-Faint Instances

Lin, Z., Jiang, X., & Zheng, Z. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3540265 · Cited by 2

Mining attention-guided cross-modality correlation for visible-infrared person re-identification

Wang, S., Zhang, B., Zhang, J., Gu, Y., Yang, L., Xie, Y., & Gu, Y. (2025) · Journal of Electronic Imaging · doi:10.1117/1.jei.34.2.023013 · Cited by 1

Hybrid sparse and dense attentions of similar regions for image denoising

Chen, D.-Q. (2025) · Signal Image and Video Processing · doi:10.1007/s11760-025-04012-y · Cited by 1

ORP-extractor: A novel pipeline for extracting the phenotypic parameters of growing Oudemansiella raphanipies based on synthetic dataset

Yin, H., Wu, L., Wei, Q., Guo, C., Chen, M., Xue, L., Chen, C., & Wang, Y. (2025) · Journal of Food Measurement & Characterization · doi:10.1007/s11694-025-03390-8 · Cited by 1

Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction

Li, T., & Guan, Y. (2021) · Sensors · doi:10.3390/s21124248 · Cited by 1

A Double Feature Fusion Network with Progressive Learning for Sharper Inpainting

Zhang, Z., Chen, H., Deng, J., & Yin, X. (2021) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn52387.2021.9534018 · Cited by 1

FBNet: Feature Balance Network for Urban-Scene Segmentation

Gan, L., Huang, H., Li, B., & Yuan, Y. (2022) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme52920.2022.9859617 · Cited by 1

Pedestrian Attribute Recognition Based on Multi-Scale Fusion and Cross Attention

Xie, W., Zou, C., Fan, Z., Zhao, K., Xie, X., & Xiao, H. (2022) · IEEE International Conference on Pattern Recognition and Machine Learning (PRML) · doi:10.1109/prml56267.2022.9882268 · Cited by 1

Dualfeat: Dual Feature Aggregation for Video Object Detection

Pan, J. S., Du, K., Yan, Y., & Wang, H. (2022) · Proceedings - International Conference on Image Processing · doi:10.1109/icip46576.2022.9897580 · Cited by 1

Label-free retraining for improved ground plane segmentation

Uzyıldırım, F. E., & Özuysal, M. (2022) · Signal Image and Video Processing · doi:10.1007/s11760-022-02463-1 · Cited by 1

Context Prior for Scene SegmentationPreprint

Yu, C., Wang, J., Gao, C., Yu, G., Shen, C., & Sang, N. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.01547 · Cited by 1

Capturing Omni-Range Context for Omnidirectional SegmentationPreprint

Yang, K., Zhang, J., Reiß, S., Hu, X., & Stiefelhagen, R. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.05687 · Cited by 1

Efficient Spatialtemporal Context Modeling for Action RecognitionPreprint

Cao, C., Lu, Y., Zhang, Y., Jiang, D., & Zhang, Y. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.11190 · Cited by 1

SaNet: Scale-aware neural Network for Parsing Multiple Spatial Resolution Aerial Images.Preprint

Wang, L. (2021) · arXiv (Cornell University) · Cited by 1

NFFNet : An Encoder-Decoder Net for Crack Detection based on Noise Filtering FusionPreprint

Xie, Y., Zhuo, A., Chen, Y., & Bai, Y. (2023) · Research Square · doi:10.21203/rs.3.rs-2907804/v1 · Cited by 1

Monocular Computer Vision-Based Pothole Segmentation and 3d Volume Prediction Using Advanced Deep LearningPreprint

Ali, R., & Cha, Y. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4759337 · Cited by 1

Mask R-CNNを用いた小児胸部X線画像における肺領域の自動抽出

春日, 魚., 松原, 尚., 寺本, 篤., 日木, あ., Honmoto, T., 河野, 達., 齋藤, 邦., & 藤田, 広. (2020) · Medical imaging technology · doi:10.11409/mit.38.126

FEENET: A Real-Time Semantic Segmentation via Feature Extraction and Enhancement

Tan, S., Yang, W., Lin, J., & Yu, W. (2021) · Communications in computer and information science · doi:10.1007/978-981-16-0010-4_9

DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese NetworkPreprint

Xue, X., Li, Y., Yin, X., & Shen, Q. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.10607 · Cited by 1

Scale-aware Neural Network for Semantic Segmentation of Multi-resolution Remotely Sensed ImagesPreprint

Wang, L., Fang, S., Zhang, C., Li, R., Duan, C., Meng, X., & Atkinson, P. M. (2021) · arXiv (Cornell University)

6d Object Pose Estimation with Location-and-Channel AttentionPreprint

Zuo, G., Chen, K., & Huang, G. M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3979336

[Segmentation method of myocardial perfusion bull-eye for the degree of loss of cardiac ischemia].

Wang, H., Zhang, R., Meng, Z., Zhu, S., & Zhang, W. (2021) · PubMed Central · doi:10.7507/1001-5515.202102019

Afmf:Adaptive Fusion of Multi-Scale Features for Pixel-Level Object DetectionPreprint

Yang, Y., Hong, L., Chen, Q., Zhang, Q., Wu, C., & Pang, S. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3997537

Faculty Opinions recommendation of Highly accurate protein structure prediction with AlphaFold.

Chakraborty, S. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.740477161.793587538

A locality capacity enhancement attention network for semantic segmentation

Geng, S. (2023) · IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE) · doi:10.1109/icsece58870.2023.10263332

Unrolling Local-Nonlocal Network for Mr Image Super-ResolutionPreprint

Hu, L., Fang, F., & Zhang, G. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4600277

Parallel Multi-Task Network from 2d Image to 3d Semantic Scene CompletionPreprint

Lu, Z., Cao, B., & Hu, Q. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4634961

Comparison and improvement of some attention mechanisms in the video field

Liu, Y., Zhao, J., Fan, J., & Zhang, J. (2024) · International Conference on Computer Vision and Data Mining (ICCVDM) · doi:10.1117/12.3021508

Research on orbital foreign object intrusion detection method based on image segmentation

yang, Y., wang, C., & wang, J. (2024) · International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT) · doi:10.1117/12.3024686

A Real-time Semantic Segmentation based on Self- attention and Contextual Information

Cao, X., Deng, A., & Zhang, Z. (2023) · IEEE International Conference on Frontiers Technology of Information and Computer (ICFTIC) · doi:10.1109/icftic59930.2023.10455812

FSFP: A Fine-Grained Online Service System Performance Fault Prediction Method Based on Cross-attention

Yang, N., Shi, Y., Su, Z., Wang, X., Yan, Z., & Kong, F. (2023) · Asia-Pacific Software Engineering Conference (APSEC) · doi:10.1109/apsec60848.2023.00018

Automatic Area Measurement of Ring Cooler Corner Images Based on EU-Net

Wang, W. A., Zhang, D., Li, Q., Li, J. K., Ma, J., & Xi, Y. (2023) · International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR) · doi:10.1109/aihcir61661.2023.00012

HF-DehazeNet: Hybrid Features-Based Network for Image Dehazing

Li, R., Yao, B., Li, Y., & Wu, Q. (2023) · International Conference on Mechanical and Electronics Engineering · doi:10.1109/icmee59781.2023.10525664

Confidence-guided Source Label Refinement and Class-aware Pseudo-Label Thresholding for Domain-Adaptive Semantic Segmentation

Chu, H., Shen, M., Peng, J., & Ma, A. J. (2024) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn60899.2024.10650579

ETFE: Efficient transformer with feature enhancement for semantic segmentation

Liu, M., & Li, T. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2858/1/012025

Arbitrary Clothing Style Transfer Based on Attention Mechanism

Huang, C., Zhang, J., & Yuan, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-78125-4_17

Stacked Multi-Head Cross Attention for Image Recognition

Liu, S. Y., Du, X., & Wu, T. (2024) · International Conference on Image Processing, Machine Learning and Pattern Recognition (IPMLPR) · doi:10.1145/3700906.3700965

From a General-Purpose Object-Detector to an Efficient Multi -Human Parsing Network

Le, T.-S., Pham, M.-N., & Nguyen-Phu, V.-T. (2024) · International Conference on Advanced Technologies for Communications · doi:10.1109/atc63255.2024.10908286

Dual-level correspondence network for few-shot semantic segmentation

Hui, H., Wen, C., Ma, Y., Yuan, F., Zhu, H., & Zhu, P. (2025) · Multimedia Tools and Applications · doi:10.1007/s11042-025-20673-w

Research on Diffusion Kurtosis Imaging of the Brain Based on Deep Learning

Chen, R., Yue, J., Li, R., & Jia, Z. (2025) · IEEE Access · doi:10.1109/access.2025.3561035

A High-Performance Deep Learning Model for Autonomous Driving Segmentation Under Challenging ConditionsPreprint

haifeng, W., Yuan, S., Gao, L., Qi, L., Shi, N., Wei, H., & Yuan, Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5248402

Wheat Disease Monitoring Based on Multimodal Large Models

Liao, T., Li, R., Xie, C., Qi, R., Hu, T., Zhang, J., & Liu, M. Y. (2025) · International Conference on Advanced Algorithms and Control Engineering (ICAACE) · doi:10.1109/icaace65325.2025.11020040

Restoration of archival film with large areas of structural damage

Liu, Q., Liu, Y., Wang, L., Yan, F., Zhang, Q., & Ju, H. (2026) · npj Heritage Science · doi:10.1038/s40494-025-02235-3

ECG Signal Classification Algorithm Based on CCA-DSC ResGNet

Wang, Y., Shao, W., & Liu, Z. (2025) · International Conference on Electrical, Electronic Information and Communication Engineering (EEICE) · doi:10.1109/eeice65049.2025.11034042

An Ultrasound Signal-Guided Two-Stage Weakly Supervised Network for Intraoperative Glioma Localization and Infiltration Boundary Recognition Using a Nude Mouse Model

Xie, X., Yang, Z., Zhao, C., Song, P., Wu, G., Shi, Z., & Yu, J. (2025) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2025.05.026

Uavs-Based Multimodal Object Detection Via Feature Enhancement and Dynamic Gated FusionPreprint

GU, Y., Chen, W., & Peng, D. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5365098

Attention-Based Refinement and Criss-Cross Mechanisms in GANs for Improved Deepfake Detection

Selvaraj, P., & Belmin, S. A. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-00884-8_26

A novel image segmentation network with multi‐scale and flow‐guided attention for early screening of vaginal intraepithelial neoplasia (VAIN)

Li, J., Xia, W., Lü, J., Liu, J., Qiu, L., Shi, Z., Song, Y., Li, Y., Zhang, D., Yang, H., et al. (2025) · Medical Physics · doi:10.1002/mp.18041

Pseudo Progressive Global to Local Transformer Network for Segmentation Refinement

Yan, H., Wu, G., & Ding, J. (2025) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2025.3604819

Exacter set-level nonlocal attention mechanism based on learning weights for image denoising

Chen, D.-Q., & Chen, Y. (2025) · Pattern Analysis and Applications · doi:10.1007/s10044-025-01553-3

Protein Structure Prediction by Artificial Intelligence

Li, J., & Han, Y. (2025) · Wiley eBooks · doi:10.1002/9783527842346.ch03

3-D Feature Representation via Cross Attention for Space Target Recognition

Wang, Y., Zhu, Y., Wu, Z., Liu, M. Z., Wang, Y., Wang, F., & Jin, Y. (2025) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2025.3620304

SBFS-Net: Smoke Segmentation via Separated Smoke and Background Features

Mo, Z., Liang, Y., Zou, K., Li, W., Feng, F., & Huang, H. P. (2025) · International Conference on Image, Vision and Computing (ICIVC) · doi:10.1109/icivc66358.2025.11200348

S2DFormer: A Spatio-Spectral Dilated Transformer for Improved Geological Interpretation Using Multisource Datasets

Appiah-Twum, M., Xu, W., Jia, H., & Zhang, B. (2025) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss55030.2025.11243674

Background-Adaptive Neural Networks for Surface Mount Device Defect Segmentation by Comparing With Positive Samples

Niu, T., Chen, B., Fan, Y., Li, K., Zhong, F., Li, B., & Zhang, H. (2025) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2025.3637896

DCB: An Efficient Approach for Building Long-Range Dependencies in CNNs

Lan, T., He, M., & Dai, Y. (2025) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.1109/apsipaasc65261.2025.11249096

Cross-Earthquake-Event Intelligent Recognition of Coseismic Landslides

Wang, X., Wang, L., Guo, H., Wang, X., Yang, Q., & Zhang, A. (2025) · Springer eBooks · doi:10.1007/978-981-95-1297-3_3

Fully-Cascaded Spatial-Aware Convolutional Network for Motion Deblurring

Hong, Y., Tao, B., Wang, Q., Mai, G., & Guo, C. (2025) · Information · doi:10.3390/info16121055

Quantifying freeze damage in strawberry plants using deep learning-based semantic segmentation

C, S. G., Paul, N., Khan, A., Hatterman‐Valenti, H., Anderson, J. V., Kandel, J. S., Horvath, D., & Sun, X. (2025) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2025.102560

DNA‐Former: Video DNA‐Aware Transformer for Human Action Recognition

Liu, X., Qu, A., Gu, L., Li, J., & Liu, J. (2025) · IET Image Processing · doi:10.1049/ipr2.70266

SAM-I2V++: Efficiently Upgrading SAM for Promptable Video Segmentation

Mei, H., Zhang, P., & Shou, M. Z. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3648863

Multi-attention-aware motion estimation for cardiac MR imaging based on a feature pyramid network

Wu, K., Chen, X., Cheng, N., Ravikumar, N., & Frangi, A. F. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.109714

PRNet: prototype reorganization few-shot semantic segmentation network

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