Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472

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

You Only Look Once: Unified, Real-Time Object Detection

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803

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

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.81 · Cited by 32,684

Untitled work

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Feature Pyramid Networks for Object Detection

Lin, T.-Y., Dollar, P., Girshick, R., He, K., Hariharan, B., & Belongie, S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.106 · Cited by 30,939

Focal Loss for Dense Object Detection

Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.324 · Cited by 30,581

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

Progressive Semi-Decoupled Detector for Accurate Object Detection

Han, B., He, L., Ke, J., Wu, J., & Gao, X. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3565933 · Cited by 2

PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets

Yang, R., & Peng, Y. (2024) · International Conference on Intelligent Control and Information Processing · doi:10.1109/icicip60808.2024.10477836 · Cited by 2

A Visual Inspection and Classification Method for Camshaft Surface Defects Based on Defect Similarity Measurement

Cao, J., Wu, H., Wang, W., Qasim, T., & Wang, D. (2024) · IEEE Access · doi:10.1109/access.2024.3395119 · Cited by 2

Research on Oriented Object Detection in Aerial Images Based on Architecture Search with Decoupled Detection Heads

Yuzhe, K., Zheng, B., & Shen, W. (2025) · Applied Sciences · doi:10.3390/app15158370 · Cited by 2

Digital-Twin-Driven Multivehicle Multidrones Tracking Method

Liu, J., Chen, J., Wan, D., Tian, Y., Sun, J., Bian, C., Yue, X., & Hou, T. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3620477 · Cited by 2

Patch-wise Weakly Supervised Learning for Object Localization in Video

Huh, D., Kim, T., & Kim, J. (2019) · International Conference on Artificial Intelligence in Information and Communication (ICAIIC) · doi:10.1109/icaiic.2019.8668987 · Cited by 2

A Shallow–Deep Feature Fusion Method for Pedestrian Detection

Liu, D., Zang, K., & Shen, J. (2021) · Applied Sciences · doi:10.3390/app11199202 · Cited by 2

Improvement of Bounding Box and Instance Segmentation Accuracy Using ResNet-152 FPN with Modulated Deformable ConvNets v2 Backbone-based Mask Scoring R-CNN

Shanmugasundaram, S., & Palaniappan, N. (2023) · International Journal of Image and Graphics · doi:10.1142/s0219467824500542 · Cited by 2

Key Components Detection and Identification of Transmission Lines Based on an Improved CornerNet Network

Zhang, Q., Zhu, Z., Ge, Z., Gao, M., Bai, Y., & Tu, R. (2021) · Cited by 2

LeapDetect: An Agile Platform for Inspecting Power Transmission Lines from Drones

Mai, G., Gou, R., Ji, L., Wu, H., Cao, F. F., Chen, Q., & Luo, J. (2019) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2019.00164 · Cited by 2

Research on Mask Wearing Detection Based on Faster RCNN

Ding, Y., Liu, C., Wang, H., & Chang, Z. (2022) · International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) · doi:10.1109/aemcse55572.2022.00128 · Cited by 2

PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object DetectionPreprint

Tang, Q., Liu, S., Li, J., & Hu, Y. H. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1908.03295 · Cited by 2

G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object DetectionPreprint

Luo, Y., & Xiao, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.03677 · Cited by 2

Pyramid Correlation based Deep Hough Voting for Visual Object TrackingPreprint

Wang, Y., Xu, T., Li, J., Jiang, S., & Chen, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.07994 · Cited by 2

Aggregation Transformer for Human Pose Estimation

Dong, H., Wang, G., & Zhang, X. (2022) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr56361.2022.9956315 · Cited by 1

Design of Monitoring and Identification System for Helmet Wearing in Construction Site Based on YoloV5

Dong, Z. (2023) · IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE) · doi:10.1109/icsece58870.2023.10263434 · Cited by 1

A Study on Object Detection using Faster R-CNN, Retina net, RPN_R_50_FPN, RPN_R_50_C4

Kadiyam, A. T. S., Padhan, C. R., & Panigrahi, S. (2024) · International Conference on Intelligent Computing and Sustainable Innovations in Technology (IC-SIT) · doi:10.1109/ic-sit63503.2024.10862488 · Cited by 1

Deep Learning-Based Defect Identification for Quantum Key Distribution Devices

Sun, X., Shao, W.-P., Lv, P., Mao, Y., Chen, Q., & Wu, H. (2025) · IEEE photonics journal · doi:10.1109/jphot.2025.3591925 · Cited by 1

TSFDet: Task-Specific Feature Disentanglement for Two-Stage Oriented Object Detector

Han, Y., Zhan, W., Huo, D., Guo, J., Tian, Y., Chen, Y., Zhu, D., & Deng, H. (2026) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2026.3671319 · Cited by 1

Learning Balance Feature for Object Detection

Zhang, Z., Qiu, X., & Li, Y. (2022) · Electronics · doi:10.3390/electronics11172765 · Cited by 1

Ear Recognition: Advancements and Trends in Biometric Identification

Chutani, P., & Sharma, N. (2024) · International Conference on Expert Clouds and Applications (ICOECA) · doi:10.1109/icoeca62351.2024.00168 · Cited by 1

OAPR: An Offset-Aware Progressive Regression Object Detector

Lv, Y., He, Y., & Li, M. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3546309 · Cited by 1

Hybrid Model-Based Automated Exterior Vehicle Damage Assessment and Severity Estimation for Insurance Operations

Jayagoda, N. M., & Kasthurirathna, D. (2025) · International Research Conference on Smart Computing and Systems Engineering (SCSE) · doi:10.1109/scse65633.2025.11031047 · Cited by 1

Symbol Recognition of Station Signal Layout Drawings Using a Fusion Design of Generalized Focal Loss and Dilated Residual Segmentation

Sun, Q., Deng, W., Zhu, M., Fan, W., & Li, T. (2026) · Symmetry · doi:10.3390/sym18050874 · Cited by 1

A Global to Local Double Embedding Method for Multi-person Pose Estimation

Xu, Y., Li, J., Ding, Y., & Wei, H. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-69541-5_6 · Cited by 1

Classification Weight Imprinting for Data Efficient Object Detection

Li, Y., Zhu, H., Ma, J., Tian, S., Teo, C. S., Xiang, C., Vadakkepat, P., & Lee, T. H. (2021) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie45552.2021.9576432 · Cited by 1

Gap Detection of Aircraft Bell-Shaped Tube Based on Convolutional Neural Networks

Yao, Y. F., Li, F., & Wang, J. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-030-89698-0_138 · Cited by 1

An Expert System for Weapon Identification and Categorization Using Machine Learning Technique to Retrieve Appropriate Response

Aftab, R. M. (2021) · Lahore Garrison University Research Journal of Computer Science and Information Technology · doi:10.54692/lgurjcsit.2021.0504248 · Cited by 1

Classification of Rice Leaf using RCNN with Transfer Learning

Iyswaryalakshmi, K., Ramkumar, M. O., Priyanka, S. B., & Jayakumar, D. (2022) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec54921.2022.9951951 · Cited by 1

Research on TCM syndrome differentiation based on multi-feature fusion and GCN

Liu, B., Guan, W., & Fang, Z. (2023) · International Conference on Electronic Technology and Information Science (ICETIS) · doi:10.1117/12.2682399 · Cited by 1

YOLOv5s-Transformer: Improved YOLOv5 Network for Real-Time Detection of Cigarette Smoking Based on Image processing

Zhao, Z., & Zhao, Y. (2023) · International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) · doi:10.1109/ainit59027.2023.10212761 · Cited by 1

LF-YOLOv7: Improved YOLOv7 Based on Lightweight Modules and Novel Feature Fusion for Object Detection on Drone-Captured Scenarios

Jiang, W., Wang, L., Mao, G., Sun, M., Dharejo, F. A., & Mallah, G. A. (2023) · International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci62032.2023.00189 · Cited by 1

Harnessing the Power of Graph Propagation in Lung Nodule Detection

Modak, S., Trivedi, Y., Abdel‐Raheem, E., & Rueda, L. G. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-66535-6_8 · Cited by 1

Door-Density-Aware Path Planning

Vikram, C., Mirihagalla, M. K. D. M., Yeo, M. S. K., Zeng, Z., Borusu, C. S. C. S., Muthugala, M. A. V. J., & Elara, M. R. (2024) · IEEE Access · doi:10.1109/access.2024.3463876 · Cited by 1

Enhanced YOLOv8 for efficient identification of salix cheilophila during stubble period

Ma, H., Liu, Z., Song, T., Zhao, Z., Pei, C., & Wang, S. (2025) · Signal Image and Video Processing · doi:10.1007/s11760-025-04262-w · Cited by 1

Combining YOLO and R-CNN for Robust Object Detection

Singh, K. (2025) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2025.71512 · Cited by 1

Multi-person Human Shape and Pose Estimation Based on Local and Global Optimization

Fang, X., Li, M., Li, G., Cao, Y., Wang, L., & Liu, Z. (2024) · International Conference on Virtual Reality and Visualization · doi:10.1109/icvrv62410.2024.00051 · Cited by 1

SEFD: A Simple and Effective Single Stage Face Detector

Shi, L., Xu, X., & Kakadiaris, I. A. (2019) · International Conference on Biometrics · doi:10.1109/icb45273.2019.8987231 · Cited by 1

A Novel Two-path Backbone Network for Object Detection

Sun, Y., Lin, S.-B., & Chen, L. F. (2020) · International Conference on Computer Vision, Image and Deep Learning (CVIDL) · doi:10.1109/cvidl51233.2020.00-91 · Cited by 1

"Object Detection Using Convolutional Neural Networks: A Review"

Bhardwaj, S. (2021) · International Journal of Innovative Research in Computer Science & Technology · doi:10.55524/ijircst.2021.9.6.64 · Cited by 1

Evaluating the Influence of UAV Flight Characteristics on the Detection of Objects in Photogrammetric Models Using Deep Neural Networks

Congress, S. S. C., Gajurel, A., & Puppala, A. J. (2022) · ASCE International Conference on Transportation and Development (ICTD) · doi:10.1061/9780784484371.014 · Cited by 1

Dockerized Knowledge-Oriented Multi-modal Social Event Detection System

Lyu, Y. (2022) · International Conference on Data Science and Information Technology (DSIT) · doi:10.1109/dsit55514.2022.9943851 · Cited by 1

Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image RecognitionPreprint

Cheng, B., Xiao, R., Guo, Y., Hu, Y., Wang, J., & Zhang, L. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1809.06131 · Cited by 2

PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization AccuracyPreprint

Xiao, L., Luo, Y., Luo, C., Zhao, L., Fu, Q., Yang, G., Huang, A., & Zhao, Y. C. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.04541 · Cited by 1

Low-shot Object Detection via Classification Refinement.Preprint

Li, Y., Cheng, Y., Liu, L., Tian, S., Zhu, H., Xiang, C., Vadakkepat, P., Teo, C. S., & Lee, T. H. (2020) · arXiv (Cornell University) · Cited by 1

Comparison and Analysis of Algorithms Used for Detecting Slums in Satellite Images

Saindane, P., Ganapathy, G., Prabhavalkar, N., Bhatia, N., & Vaidyaa, A. (2019) · International Journal of New Technology and Research · doi:10.31871/ijntr.5.2.14

Deep learning for real-world object detection

Wu, X. (2020) · Singapore Management University Institutional Knowledge (InK) (Singapore Management University)

Multi-grained Cross-modal Similarity Query with Interpretability

Zhu, M., Shen, D., Lixin, X., & Ren, G. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60290-1_26

Design and Implementation of Visual Detection System for Driving Environment

Wang, X. (2020) · International Conference on Computer Engineering and Intelligent Control (ICCEIC) · doi:10.1109/icceic51584.2020.00041

Learning for Object Localization with Imperfect Data

Zhang, X. (2021) · UTS ePRESS (University of Technology Sydney)

FTAFace

Wang, D., Wen, D., Wei, T., Yin, L., Chen, T.-W., Ito, T., Osa, K., & Kato, M. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475500

An Efficient Safety Helmet Detection based on Attentional Mechanism

Gao, Y., Liu, Y., Nie, D., Huang, Z., Li, B., & Qian, B. (2021) · International Symposium on System and Software Reliability (ISSSR) · doi:10.1109/isssr53171.2021.00038

Research Progress of Computer Automatic Detection of Pulmonary Nodules in Images

Chen, C. (2021) · Computer Science and Application · doi:10.12677/csa.2021.111016

Eyes Detector Approach for Driving Monitoring System for Occluded Faces without using Facial Landmarks

Vaca-Recalde, M. E., López-García, P., Echanobe, J., & Perez, J. (2021) · IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) · doi:10.1109/iccp53602.2021.9733626

A DCRC Model for Text Classification

Hao, Z., Jin, J., Liang, S., Cheng, S., & Shen, Y. (2022) · Studies in computational intelligence · doi:10.1007/978-3-031-12127-2_6

Multi-Sequence Dilated Network for Object Detection

Cui, D., Li, Z., Chang, X., Wu, L., & Liu, Y. (2022) · IEEE International Workshop on Multimedia Signal Processing (MMSP) · doi:10.1109/mmsp55362.2022.9949507

Deep neural networks with attention mechanisms for Spodoptera frugiperda pupae sexing

Porto, J. V. D. A., Rezende, F. P. C., Nucci, H. H. P., Roel, A. R., Astolfi, G., & Pistori, H. (2023) · Smart Agricultural Technology · doi:10.1016/j.atech.2023.100200

Deep Ensemble Architecture: A Region Mapping for Chest Abnormalities

Ajad, A., Saini, T., Niranjan, M. K., Joshi, A., & Swaroop, M. L. K. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-1648-1_28

Research on Target Detection and Anti-Attack Method Based on Neural Network

Wu, Y., Zhang, J., Luo, H., Zhong, Z., & Shi, X. (2023) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-99-0880-6_40

EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object

Kim, H., Yoon, H., Kim, M., Han, D.-S., & Zhang, B. (2023) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48891.2023.10160481

Artificial Intelligence for Work Measurement: A Promising Approach to Improving Productivity and Reducing Waste

Hassani, I. E., Masrour, T., Hajji, T., Belmarouf, C., & Talhaoui, Y. (2023) · Lecture notes in networks and systems · doi:10.1007/978-3-031-43524-9_7

Nghiên cứu ứng dụng thuật toán học sâu kết hợp cảm biến kinect trong phân loại vật thể

(2023) · Journal of Science and Technology - HaUI · doi:10.57001/huih5804.2023.142

Mask YOLO: a fine-grid method for multi-scale targets detection

Nie, Y. M. (2023) · doi:10.1117/12.3006609

Prototype-Based Cross-Modal Object TrackingPreprint

Liu, L., Li, C., Wang, F., Shen, L., & Tang, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4725187

Enemy detection with autonomous obstacle avoidance 3 wheeled synchronous drive

Bhagat, D., Kargathara, A., Lakhani, D., Agrawal, D., Mecwan, A., & Chauhan, M. M. (2024) · AIP conference proceedings · doi:10.1063/5.0226560

Evaluation of Public Participation and Emotion Classification for the Reconstruction of Old Communities Based on Semantic Analysis Algorithm

Gao, M. (2024) · IEEE Access · doi:10.1109/access.2024.3441537

An Enhanced U-Net Model for Segmenting CT Images of COVID-19 Patients

Shen, Z. (2024) · Applied and Computational Engineering · doi:10.54254/2755-2721/2025.18292

SACM: spatial attributes of complex movements in multi-object tracking

Li, H., Li, J., & Sun, X. (2025) · Multimedia Tools and Applications · doi:10.1007/s11042-025-20857-4

Casting light on object detection: A comprehensive survey of traditional and deep learning approaches

Kadhim, M. A., & Abbadi, N. K. E. (2025) · AIP conference proceedings · doi:10.1063/5.0286165

C2CNet: Connect to Casual Feature Pyramid Net for Target Detection

Li, H., & Wang, H. (2025) · International Conference on Machine Intelligence Theory and Applications (MiTA) · doi:10.1109/mita66017.2025.11100266

Selective cyclic-shifted window-based accelerated transformer network for object tracking

Wu, C., Chen, Y., Shen, J., Chen, K., Liao, Y. J., Chen, N., Hu, H., Weng, L., Wang, H., Yu, F., et al. (2025) · Digital Signal Processing · doi:10.1016/j.dsp.2025.105514

Enhanced Head: Exploring Strong Detection Heads With Vision Transformer

Du, Z., Hu, Z., Zhao, G., Jin, Y., & Ma, H. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3604917

Maturity estimation of mini tomatoes with color analysis and cumulative temperature

Lyu, Y., Shibuya, K., Gama, Y., Hatanaka, Y., Timprae, W., Rumahorbo, P. S., Yamanaka, S., & Watanabe, S. (2025) · The Journal of Supercomputing · doi:10.1007/s11227-025-08134-5

Integrating Point Cloud Generation and Graph Machine Learning to Reduce False Positives in Pulmonary Nodule Detection

Modak, S., Rueda, L. G., & Abdel‐Raheem, E. (2025) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas67066.2025.00039

AES-YOLO: A High-Precision UAV Object Detection Model

Wang, D., 侯耀升, & Jiang, Z. (2025) · International Conference on Artificial Intelligence and Computer Engineering (ICAICE) · doi:10.1109/icaice68195.2025.11382507

Deep learning for automatic facial expression assessment with application to the expression of pain

Vu, M. T. (2022) · theses.fr (ABES) · doi:10.70675/b3a4930cz2ae5z4f53z9602ze781cb8f524a

Efficient and Accurate Object Detection With Asymmetric Progressive Semi-Decoupled Head and Harmonic Focal Loss

Han, B., He, L., Ke, J., Tang, J., Wang, D., & Gao, X. (2026) · IEEE Transactions on Image Processing · doi:10.1109/tip.2026.3683599

EGPD-Nodule: An enhanced lung nodule detection and segmentation framework utilizing superpixels and graph neural networks

Modak, S., Rueda, L. G., & Abdel‐Raheem, E. (2026) · Signal Image and Video Processing · doi:10.1007/s11760-026-05427-x

Research and Development of Offline Circuit Breaker Status Detection Based on Deep Learning and ONNX

(293531), R. Y., Xu, Y., Guo, J., & Yu, L. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-8318-8_30

EL-DETR: An enhanced localization DETR with spatial attention feature pyramid for high-precision underwater object detection

Zhang, C., Wu, S., Huang, B., Zhao, B., Cui, F., & Li, X. (2026) · Journal of King Saud University - Computer and Information Sciences · doi:10.1007/s44443-026-00920-2

Growth Monitoring of Mini Tomatoes Using Color Analysis and Cumulative Temperature to Predict Maturity Degree

Lyu, Y., Shibuya, K., Gama, Y., Hatanaka, Y., Timprae, W., Rumahorbo, P. S., Yamanaka, S., & Watanabe, S. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-22193-3_40

Decoupled Classification Refinement: Hard False Positive Suppression for Object DetectionPreprint

Cheng, B., Wei, Y., Feris, R., Xiong, J., Hwu, W., Huang, T. S., & Shi, H. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1810.04002 · Cited by 46

Reducing false positives for object detection

Cheng, B. (2019) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)

G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object DetectionPreprint

Luo, Y., & Xiao, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.03677 · Cited by 2

Single shot object detection with refined feature

Zhang, X., Wang, C., Cheng, L., Jiang, S., & Qi, J. (2020) · Multimedia Tools and Applications · doi:10.1007/s11042-020-09483-4 · Cited by 1

ITDRCNN: An Interactive Task-Decoupled RCNN for enhanced object detection

Wu, S., Wei, H., Quan, Y., Xu, Y., Tian, C., & Miao, Q. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.114190