Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, Sun, Jian·2015·IEEE Transactions on Pattern Analysis and Machine Intelligence

Cited by (130)

Items 101–130 of 130

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    Mathur, Akhil, Zhang, Tianlin, Bhattacharya, Sourav, Velickovic, Petar, Joffe, Leonid, Lane, Nicholas D., Kawsar, Fahim, Lio, Pietro · 2018 · 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
  4. Weakly Supervised Deep Detection Networks
    Bilen, Hakan, Vedaldi, Andrea · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  5. A High-Precision Vehicle Detection and Tracking Method Based on the Attention Mechanism
    Wang, Jiandong, Dong, Yahui, Zhao, Shuangrui, Zhang, Zhiwei · 2023 · Sensors
  6. Pedestrian and Vehicle Detection in Autonomous Vehicle Perception Systems—A Review
    Galvao, Luiz G., Abbod, Maysam, Kalganova, Tatiana, Palade, Vasile, Huda, Md Nazmul · 2021 · Sensors
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    Rhee, Phill Kyu, Erdenee, Enkhbayar, Kyun, Shin Dong, Ahmed, Minhaz Uddin, Jin, Songguo · 2017 · Cognitive Systems Research
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    Hsu, Chia-Yu, Li, Wenwen, Wang, Sizhe · 2021 · Remote Sensing
  9. [Retracted] An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images
    Sreelakshmy, R., Titus, Anita, Sasirekha, N., Logashanmugam, E., Begam, R. Benazir, Ramkumar, G., Raju, Raja · 2022 · BioMed Research International · Retracted
  10. Fusion of Deep Sort and Yolov5 for Effective Vehicle Detection and Tracking Scheme in Real-Time Traffic Management Sustainable System
    Kumar, Sunil, Singh, Sushil Kumar, Varshney, Sudeep, Singh, Saurabh, Kumar, Prashant, Kim, Bong-Gyu, Ra, In-Ho · 2023 · Sustainability
  11. Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images
    Bayoudh, Khaled, Hamdaoui, Fayçal, Mtibaa, Abdellatif · 2020 · Physical and Engineering Sciences in Medicine
  12. FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information
    Ho, Trang-Thi, Tran, Khoa-Dang, Huang, Yennun · 2022 · Sensors
  13. Automated ultrasound assessment of amniotic fluid index using deep learning
    Cho, Hyun Cheol, Sun, Siyu, Min Hyun, Chang, Kwon, Ja-Young, Kim, Bukweon, Park, Yejin, Seo, Jin Keun · 2021 · Medical Image Analysis
  14. FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-Chamber Views
    Qiao, Sibo, Pang, Shanchen, Luo, Gang, Pan, Silin, Chen, Taotao, Lv, Zhihan · 2022 · IEEE Journal of Biomedical and Health Informatics
  15. Combining the YOLOv4 Deep Learning Model with UAV Imagery Processing Technology in the Extraction and Quantization of Cracks in Bridges
    Kao, Szu-Pyng, Chang, Yung-Chen, Wang, Feng-Liang · 2023 · Sensors
  16. Visual Semantic Information Pursuit: A Survey
    Liu, Daqi, Bober, Miroslaw, Kittler, Josef · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  17. Overview of single-stage object detection models: from Yolov1 to Yolov7
    Yasmine, Ghazlane, Maha, Gmira, Hicham, Medromi · 2023 · 2023 International Wireless Communications and Mobile Computing (IWCMC)
  18. Deep Learning Strategies for Ultrasound in Pregnancy
    Diniz, Pedro H. B., Yin, Yi, Collins, Sally · 2020 · EMJ Reproductive Health
  19. Deep Cybersecurity: A Comprehensive Overview from Neural Network and Deep Learning Perspective
    Sarker, Iqbal H. · 2021
  20. A single-shot multi-level feature reused neural network for object detection
    Wei, Lixin, Cui, Wei, Hu, Ziyu, Sun, Hao, Hou, Shijie · 2021 · The Visual Computer
  21. DeePhy: On Deepfake Phylogeny
    Narayan, Kartik, Agarwal, Harsh, Thakral, Kartik, Mittal, Surbhi, Vatsa, Mayank, Singh, Richa · 2022 · 2022 IEEE International Joint Conference on Biometrics (IJCB)
  22. Object Localization Based on Proposal Fusion
    Tang, Sheng, Li, Yu, Deng, Lixi, Zhang, Yongdong · 2017 · IEEE Transactions on Multimedia
  23. StuffNet: Using ‘Stuff’ to Improve Object Detection
    Brahmbhatt, Samarth, Christensen, Henrik I., Hays, James · 2017 · 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)
  24. Improved YOLOv8-Based Target Precision Detection Algorithm for Train Wheel Tread Defects
    Wen, Yu, Gao, Xiaorong, Luo, Lin, Li, Jinlong · 2024 · Sensors
  25. We Don’t Need No Bounding-Boxes: Training Object Class Detectors Using Only Human Verification
    Papadopoulos, Dim P., Uijlings, Jasper R. R., Keller, Frank, Ferrari, Vittorio · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  26. FFS-VA: A Fast Filtering System for Large-scale Video Analytics
    Zhang, Chen, Cao, Qiang, Jiang, Hong, Zhang, Wenhui, Li, Jingjun, Yao, Jie · 2018 · Proceedings of the 47th International Conference on Parallel Processing
  27. Improving single-stage object detectors for nighttime pedestrian detection
    Devi, S, Thopalli, Kowshik, Malarvezhi, P, Thiagarajan, Jayaraman J. · 2022 · International Journal of Pattern Recognition and Artificial Intelligence
  28. Crack Location and Degree Detection Method Based on YOLOX Model
    Wang, Linlin, Li, Junjie, Kang, Fei · 2022 · Applied Sciences
  29. A Quantized Neural Network Library for Proper Implementation of Hardware Emulation
    Kiyama, Masato, Nakahara, Yasuhiro, Amagasaki, Motoki, Iida, Masahiro · 2019 · 2019 Seventh International Symposium on Computing and Networking Workshops (CANDARW)
  30. Radiation Anomaly Detection of Sub-Band Optical Remote Sensing Images Based on Multiscale Deep Dynamic Fusion and Adaptive Optimization
    Ci, Jinlong, Tan, Hai, Zhai, Haoran, Tang, Xinming · 2024 · Remote Sensing