InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

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

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155

ImageNet: A large-scale hierarchical image database

Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333

Going deeper with convolutions

Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., & Rabinovich, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298594 · Cited by 48,562

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al. (2020) · arXiv · doi:10.48550/arxiv.2010.11929 · Cited by 47,472

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., & Guo, B. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00986 · Cited by 35,534

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

R$$^{2}$$S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild

Butt, M. A., Ali, H. M., Qayyum, A., Sultani, W., Al‐Fuqaha, A., & Qadir, J. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02207-3 · Cited by 6

Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography

Feng, W., Wang, B., Song, D., Li, M., Chen, A., Wang, J., Lin, S., Zhao, Y., Wang, B., Ge, Z., et al. (2024) · Journal Of Big Data · doi:10.1186/s40537-024-00968-9 · Cited by 5

FE-Det: An Effective Traffic Object Detection Framework for Fish-Eye Cameras

Luo, X., Cui, Z., & Su, F. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00703 · Cited by 5

Deformable Blur Sensing and Regression Analysis ReID Feature Fusion for Multitarget Multicamera Tracking Systems in Highway Scenarios

Chan, S., Ni, S., Guo, B., Hu, J., Tang, T., Zhou, X., & Hao, P. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3454321 · Cited by 5

Distilling Knowledge from Large-Scale Image Models for Object Detection

Li, G., Wang, W., Li, X., Li, Z., Yang, J. J., Dai, J., Qiao, Y., & Zhang, S. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72907-2_9 · Cited by 5

An Optimization Method for PCB Surface Defect Detection Model Based on Measurement of Defect Characteristics and Backbone Network Feature Information

Liu, H., Zhao, X., Liu, Q., & Chen, W. (2024) · Sensors · doi:10.3390/s24227373 · Cited by 5

Demystify Transformers & Convolutions in Modern Image Deep Networks

Hu, X., Shi, M. Y., Wang, W., Wu, S., Xing, L., Wang, W., Zhu, X., Lu, L., Zhou, J., Wang, X., et al. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3520508 · Cited by 9

BEVCon: Advancing Bird's Eye View Perception With Contrastive Learning

Leng, Z., Yang, J., Ren, Z., & Zhou, B. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3540386 · Cited by 5

Small-Scale Martian Crater Detection by Deep Learning With Enhanced Capture of Features Information and Long-Range Dependencies

Yu, Z., Fong, S. J., & Millham, R. C. (2025) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2025.3539947 · Cited by 5

Small dense Mini/Micro LED high-precision inspection based on instance segmentation with local detail enhancement

Chu, J., Cai, J., Li, L., Hou, B., Wen, K., & Liang, D. S. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103199 · Cited by 5

Category-Agnostic Cluster-Guided Selective Suppression for Weakly Supervised Surface Defect Localization

Jiang, S., Liu, M., Liu, Y., Ma, Y., & Wang, Y. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3547122 · Cited by 5

ToPoFM: Topology-Guided Pathology Foundation Model for High-Resolution Pathology Image Synthesis With Cellular-Level Control

Li, J., Zhu, C., Zheng, S., Chen, P., Sun, Y., Li, H., & Yang, L. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3548872 · Cited by 6

Robust speckle reconstruction based on cascade transfer learning and speckle correlation imaging

Liao, F., Cui, G., Cui, W., Liu, Y., Shi, S., Zhao, J., & Hou, C. (2025) · Optics Communications · doi:10.1016/j.optcom.2025.131743 · Cited by 5

A Transformer-Based Symmetric Diffusion Segmentation Network for Wheat Growth Monitoring and Yield Counting

Jin, Z., Hong, W., Wang, Y., Jiang, C., Zhang, B., Sun, Z., Liu, S., & Lv, C. (2025) · Agriculture · doi:10.3390/agriculture15070670 · Cited by 5

Energy Efficient Pruning and Quantization Methods for Deep Learning Models

Gorvadiya, J., Chagela, A., & Roy, M. (2025) · International Conference on Sustainable Energy Technologies and Computational Intelligence (SETCOM) · doi:10.1109/setcom64758.2025.10932458 · Cited by 5

UniHDSA: A unified relation prediction approach for hierarchical document structure analysis

Wang, J., Hu, K., & Huo, Q. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.111617 · Cited by 5

Joint Optimization Loss Function for Tiny Object Detection in Remote Sensing Images

Shi, S., Fang, Q., & Xu, X. (2025) · Remote Sensing · doi:10.3390/rs17081476 · Cited by 5

Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images

Espitalier, V., Lombardo, J., Goëau, H., Botella, C., Høye, T. T., Dyrmann, M., Bonnet, P., & Joly, A. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103129 · Cited by 6

Longitudinal effects of visualizing uncertainty of situation detection and prediction of automated vehicles on user perceptions

Jansen, P., Colley, M., Rädler, M., Schwedler, J., & Rukzio, E. (2025) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2025.05.013 · Cited by 5

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

Wang, Z., Zhu, X., Yang, X., Luo, G., Li, H., Tian, C., Dou, W., Ge, J., Lu, L., Qiao, Y., et al. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3593283 · Cited by 10

A Progressive Saliency-Guided Small Ship Detection Method for Large-Scene SAR Images

Zhu, H., Li, D. S., Wang, H., Yang, R., Liang, J., Liu, S., & Wan, J. (2025) · Remote Sensing · doi:10.3390/rs17173085 · Cited by 5

CISC-YOLO: A Lightweight Network for Micron-Level Defect Detection on Wafers via Efficient Cross-Scale Feature Fusion

Chi, Y., Gong, X., Zhao, B., & Yao, L. (2025) · Electronics · doi:10.3390/electronics14193960 · Cited by 5

Vision Transformer with Sparse Scan Prior

Zhang, Y., Fan, Q., & Huang, H. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755145 · Cited by 5

Deformable element-wise dynamic convolution

Kim, W., Tanaka, M., Sasaki, Y., & Okutomi, M. (2023) · Journal of Electronic Imaging · doi:10.1117/1.jei.32.5.053029 · Cited by 5

RTPR-DETR : A Real Time Small Object Detection Network Based on Partial-Convolution with structural re-parameterization

Gao, S., Xue, F., Tan, W., Liu, X., & Xiao, X. (2024) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc62350.2024.10587397 · Cited by 5

Skin lesion image segmentation based on improved TransUNet

Ge, R., & Shi, C. (2024) · International Conference on Computer Engineering and Application (ICCEA) · doi:10.1109/iccea62105.2024.10604169 · Cited by 5

EDASNet: efficient dynamic adaptive-scale network for infrared pedestrian detection

Liu, Y., Zhang, M., Fan, F., Yu, D., & Li, J. (2024) · Measurement Science and Technology · doi:10.1088/1361-6501/ad6bb3 · Cited by 5

VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection

Liu, Z., Sakuma, H., & Okutomi, M. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01643 · Cited by 5

Robustness Analysis on Foundational Segmentation Models

Schiappa, M. C., Azad, S., Vs, S., Ge, Y., Mikšík, O., Rawat, Y. S., & Vineet, V. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00185 · Cited by 8

An Improved YOLOv8-Based Shallow Sea Creatures Object Detection Method

Liu, Y., Zhao, Y., Yu, B., Zhu, C. P., Huo, G., & Li, Q. (2025) · IEEE Journal of Oceanic Engineering · doi:10.1109/joe.2025.3538954 · Cited by 5

Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion

Oskouei, S., Valla, M., Pedersen, A., Smistad, E., Dale, V. G., Høibø, M., Wahl, S. G. F., Haugum, M. D., Langø, T., Ramnefjell, M., et al. (2025) · Journal of Imaging · doi:10.3390/jimaging11050166 · Cited by 6

Enhanced flame detection in virtual tunnels using DEV-YOLOv8 and digital twin systems

Li, Y., Song, X., Lin, F., & Xu, F. (2025) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2025.103143 · Cited by 5

DANet: Multi-scale UAV Target Detection with Dynamic Feature Perception and Scale-aware Knowledge Distillation

Fang, H., Liao, Z., Wang, L., Li, Q., Chang, Y., Yan, L., & Xu-hua, W. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612146 · Cited by 5

CAM based fine-grained spatial feature supervision for hierarchical yoga pose classification using multi-stage transfer learning

Pradeep, C. S., & Sinha, N. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.123625 · Cited by 5

Onboard AI: Constraints and Limitations

Miller, K., & Lohn, A. J. (2023) · doi:10.51593/2022ca008 · Cited by 7

DSAN: Exploring the Relationship between Deformable Convolution and Spatial AttentionPreprint

Yu, Z., Zhao, L., Zheng, J., Chen, H., & Zhang, X. (2024) · doi:10.36227/techrxiv.171328860.02479778/v1 · Cited by 5

A Multimodal Vision-text AI Copilot for Brain Disease Diagnosis and Medical ImagingPreprint

Zhang, G., Gao, Z., Duan, C., Liu, J., Lizhu, Y., Liu, Y., Chen, Q., Wang, L., Fei, K., Wang, T., et al. (2025) · medRxiv · doi:10.1101/2025.01.09.25320293 · Cited by 6

TrashInst: real-time floating litter instance segmentation model

Bessaad, N., Qi-lian, B., Zhao, J., & Benoudina, N. (2024) · Engineering Research Express · doi:10.1088/2631-8695/ad2036 · Cited by 4

TADAP: Trajectory-Aided Drivable area Auto-labeling with Pretrained self-supervised features in winter driving conditions

Alamikkotervo, E., Ojala, R., Seppänen, A., & Tammi, K. (2024) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3397853 · Cited by 4

AFE-YOLOv8: A Novel Object Detection Model for Unmanned Aerial Vehicle Scenes with Adaptive Feature Enhancement

Wang, S., Zhang, Z., Chao, Q., & Yu, T. (2024) · Algorithms · doi:10.3390/a17070276 · Cited by 4

Airport runway FOD detection model based on improved YOLOv10m

Wang, J., Meng, R., Zhang, Y., & Qiao, Z. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2879/1/012045 · Cited by 4

Scale Propagation Network for Generalizable Depth Completion

Wang, H., Yang, M., Zheng, X., & Hua, G. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3513440 · Cited by 4

CTCNet: a fine-grained classification network for fluorescence images of circulating tumor cells

Wu, J., Wang, H., Nie, Y., Wang, Y., He, W., Wang, G., Zeng, L., Chen, J., & Xu, W. (2025) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-025-03297-y · Cited by 4

Cross-Site Visual Localization of Zhurong Mars Rover Based on Self-Supervised Keypoint Extraction and Robust Matching

Kou, Y., Wan, W., Di, K., Liu, Z., Peng, M., Wang, Y., Xie, B., Wang, B., & Zhao, C. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3541152 · Cited by 4

Enhancing geometric modeling in convolutional neural networks: limit deformable convolution

Wang, W., Meng, Y., Li, H., Chang, G., Li, S., & Zhang, C. (2025) · Complex & Intelligent Systems · doi:10.1007/s40747-025-01799-8 · Cited by 4

FFDDNet: Flexible Focused Defect Detection Network

Lin, Z., Li, Z., Yu, J., Hu, M., & Wang, X. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3551459 · Cited by 4

Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network

Li, Y., Chen, Z., Qi, H., Fan, M., & Li, L. (2025) · Machine Learning Science and Technology · doi:10.1088/2632-2153/add853 · Cited by 4

PoseAlign network for hybrid structure in 2D human pose estimation

Zhang, J., Yin, Y., Yang, W., Ren, D., & Chen, D. Z. (2025) · Scientific Reports · doi:10.1038/s41598-025-02217-2 · Cited by 4

Pairwise Attention: Leveraging Mass Differences to Enhance De Novo Sequencing of Mass Spectra

Lapin, J., Nilsson, A., Wilhelm, M., & Käll, L. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.5c00063 · Cited by 4

STDE-YOLOv5s: a traffic sign detection algorithm based on context information enhancement

Tian, Q., & Zhang, J. (2025) · Discover Artificial Intelligence · doi:10.1007/s44163-025-00405-7 · Cited by 4

DSLL-Face: Distributed Supervision-Integrated Framework for Low-Light Face Detection

Chen, S., Chen, K., Wang, G., Wen, S., & Zhou, Z. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3590911 · Cited by 4

Efficient global–local feature extraction via the Superior Efficient Transformer

Xu, W., Yao, Y., & Zhao, W. (2025) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2025.104532 · Cited by 4

CaMuViD: Calibration-Free Multi-View Detection

Daryani, A. E., Bhutta, M. U. M., Hernandez, B., & Medeiros, H. P. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.00122 · Cited by 4

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Wang, W., Chen, Z., Liu, Y., Cao, Y., Wang, W., Zhu, X., Lu, L., Lü, T., Qiao, Y., & Dai, Y. (2025) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-031-94969-2_2 · Cited by 4

Enhancing UAV object detection through multi-scale deformable convolutions and adaptive fusion attention

Xu, X., Xing, Z., Sun, M., Zhang, P., & Yang, K. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-07788-5 · Cited by 4

SRS: Siamese Reconstruction-Segmentation Network Based on Dynamic-Parameter Convolution

Nian, B., Tang, F., Ding, J., Yang, J., Zheng, Z., Zhou, S. K., & Liu, W. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3607624 · Cited by 4

An efficient object detection network for early polyp detection

Liao, H., Hu, X., Zhang, X., Tang, T., & Xu, X. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108860 · Cited by 5

MonoGuard: towards infrastructure-aware oversized vehicle detection via dynamic 3D metrology with monocular surveillance cameras

You, Y., Gu, J., Chen, Z., Wu, G., & Gao, K. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.130049 · Cited by 4

GMG-LDefmamba-YOLO: An Improved YOLOv11 Algorithm Based on Gear-Shaped Convolution and a Linear-Deformable Mamba Model for Small Object Detection in UAV Images

Yang, Y., Yan, L., Wang, J., Liu, J. B., & Tang, X. (2025) · Sensors · doi:10.3390/s25226856 · Cited by 4

DHN-YOLO: A Joint Detection Algorithm for Strawberries at Different Maturity Stages and Key Harvesting Points

Hao, H., Xi, J., Dai, J., Wang, G., Liu, D., & Zhu, L. (2025) · Plants · doi:10.3390/plants14223439 · Cited by 4

DOMino-YOLO: A Deformable Occlusion-Aware Framework for Vehicle Detection in Aerial Imagery

Fu, T., Dong, H., Yang, B., & Deng, B. (2025) · Remote Sensing · doi:10.3390/rs18010066 · Cited by 4

SPEX: A Vision–Language Model for Land Cover Extraction on Spectral Remote Sensing Images

Si, D., Wang, D., Gao, E., Qin, X., Zhao, L., Zhang, J., Xu, M., Zhan, J., Wang, J., Liu, L., et al. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3670308 · Cited by 7

LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding

Wang, S., Liu, S., Kuang, Y., Wei, X., Liu, Y., Li, Z., Man, Y., Guo, C., Tao, A., Liu, G., et al. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-37718-0_20 · Cited by 35

Out-of-distribution Object Detection through Bayesian Uncertainty Estimation

Zhang, T., Wang, S., Bouaynaya, N. C., Călinescu, R., & Mihaylova, L. S. (2023) · International Conference on Information Fusion (FUSION) · doi:10.23919/fusion52260.2023.10224150 · Cited by 4

Machine Learning Models for Micro-bubble Image Detection in Mosquito Sprayer Quality Control:Addressing Class and Scale Imbalance

Srisaeng, S., Sadakorn, P., Ploddi, K., Areechokechai, D., & Suwannik, W. (2023) · International Conference on Big Data Analytics and Practices (IBDAP) · doi:10.1109/ibdap58581.2023.10271995 · Cited by 4

Traffic sign recognition based on deformable convolutions

Li, W. J., Yu, J., Liye, S., & Cui, L. (2023) · International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) · doi:10.1109/iciibms60103.2023.10347638 · Cited by 4

HIPer: A Human-Inspired Scene Perception Model for Multifunctional Mobile Robots

Graf, F., Lindermayr, J., Graf, B., Kraus, W., & Huber, M. F. (2024) · IEEE Transactions on Robotics · doi:10.1109/tro.2024.3420799 · Cited by 4

Lv-Adapter: Adapting Vision Transformers for Visual Classification with Linear-layers and Vectors

Xu, G., Ye, J., Liu, X., Wen, X., Li, Y., & Wang, J. (2024) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2024.104049 · Cited by 4

Deep Convolutional Feature Enhancement for Remote Sensing Object Detection

Yang, Z., Liu, Y., Gao, Z., Wen, G., Zhang, W. E., & Xiao, Y. (2024) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2024.3484652 · Cited by 4

Mix-layers semantic extraction and multi-scale aggregation transformer for semantic segmentation

Li, T., Yang, X., Zhang, Z., Cui, Z., & Maoxia, Z. (2024) · Complex & Intelligent Systems · doi:10.1007/s40747-024-01650-6 · Cited by 4

Spatiotemporal Pooling on Appropriate Topological Maps Represented as Two-Dimensional Images for EEG Classification

Fukushima, T., & Miyamoto, R. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0901-7_4 · Cited by 5

A Deep Learning-Driven Approach for Detecting Lung and Colon Cancer Using Pre-Trained Neural Networks

Rawashdeh, M., Obaidat, M. A., Abouali, M., & Thakur, K. (2024) · IEEE International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET) · doi:10.1109/honet63146.2024.10822988 · Cited by 4

SAR Aircraft Target Detection Based on Improved YOLOv8

Zheng, J., Guo, J., & Hao, M. (2024) · International Conference on Pattern Recognition and Artificial Intelligence (PRAI) · doi:10.1109/prai62207.2024.10827289 · Cited by 4

Intelligence Evaluating Computational Power: A Multi-Factor Method

Huang, Y., Li, H., Lu, D., Zhang, Z., & Tie, W. (2025) · IEEE Access · doi:10.1109/access.2025.3538977 · Cited by 5

Soil Moisture Monitoring Based on Deformable Convolution Unit Net Algorithm Combined with Water Area Changes

Na, Z., Guo, Z., & Zhu, Y. (2025) · Electronics · doi:10.3390/electronics14051011 · Cited by 4

A Comparative Study and Optimization of Camera-Based BEV Segmentation for Real-Time Autonomous Driving

Jun, W., & Lee, S. (2025) · Sensors · doi:10.3390/s25072300 · Cited by 4

MKD8: An Enhanced YOLOv8 Model for High-Precision Weed Detection

Su, W., Yang, W., Wang, J., Ren, D., & Chen, D. (2025) · Agriculture · doi:10.3390/agriculture15080807 · Cited by 4

An easy and fast method for landfill identification by image-based deep learning

Zhi, Z., Ma, S., Chen, J., Sun, C., Meng, J., Yang, Z., Chen, P., & Zhou, C. (2025) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2025.108322 · Cited by 4

A Tubercle Bacilli detection algorithm fusing deformable convolution and enhanced visual aggregator

Shuai, L., Jiao, G., Wu, S. J., Huang, J., & Wu, Y. (2025) · Physica Scripta · doi:10.1088/1402-4896/add811 · Cited by 4

GEFM: Graph-Enhanced EEG Foundation Model

Wang, L., Suzumura, T., & Kanezashi, H. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11254706 · Cited by 4

Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network

Yang, S., Zhang, L., Liu, S., Lu, H., & Chen, H. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2023.3326665 · Cited by 7

VEHICLE CLASSIFICATION IN URBAN REGIONS OF THE GLOBAL SOUTH FROM AERIAL IMAGERY

Muhlhaus, M. S., Kurz, F., Tartas, A. R. G., Bahmanyar, R., Azimi, S. M., & Hellekes, J. (2023) · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · doi:10.5194/isprs-annals-x-1-w1-2023-371-2023 · Cited by 4

Few-Shot Object Counting With Dynamic Similarity-Aware in Latent Space

He, J., Liu, B., Cao, F., Xu, J., & Xiao, Y. (2024) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2024.3350383 · Cited by 4

Analysis of modern SOTA-architectures of artificial neural networks for solving problems of image classification and object detection

Korchagin, V. D. (2023) · Программные системы и вычислительные методы · doi:10.7256/2454-0714.2023.4.69306 · Cited by 4

Prior-Guided YOLOX for Tiny Roll Mark Detection on Strip Steel

Luo, Q., Chen, Y., Su, J., Yang, C., Sílven, O., & Liu, L. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3374388 · Cited by 4

CAA: Class-Aware Affinity calculation add-on for semantic segmentation

Tang, H., Zhao, Y., Du, C., Xu, M., & Wu, Q. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112097 · Cited by 4

The Research of Small Object Detection based on YOLOX in UAV

Liu, X., & Yang, M. (2024) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd61410.2024.10580555 · Cited by 4

Deep learning accelerated numerical simulation for three-dimensional compressible fluids

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