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A Review of Object Detection Models based on Convolutional Neural Network

arXiv 1905.01614 ↗First posted 5 May 2019cs.CVcited by 21

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Abstract (arXiv)

Convolutional Neural Network (CNN) has become the state-of-the-art for object detection in image task. In this chapter, we have explained different state-of-the-art CNN based object detection models. We have made this review with categorization those detection models according to two different approaches: two-stage approach and one-stage approach. Through this chapter, it has shown advancements in object detection models from R-CNN to latest RefineDet. It has also discussed the model description and training details of each model. Here, we have also drawn a comparison among those models.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 May 2019.

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Citing papers per year: 2021: 1; 2022: 5; 2023: 4; 2024: 5; 2025: 5; 2026: 1.

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  1. 2021A Comparative Review of Recent Few-Shot Object Detection Algorithmscited by 10
  2. 2022Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparisoncited by 8
  3. 2022Precise Single-stage Detectorcited by 7
  4. 2023Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applicationscited by 5
  5. 2024LORS: Low-rank Residual Structure for Parameter-Efficient Network Stackingcited by 5
  6. 2024Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attackscited by 2
  7. 2025Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Modelscited by 2
  8. 2022Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processingcited by 1
  9. 2024Gallbladder Cancer Detection in Ultrasound Images based on YOLO and Faster R-CNNcited by 1
  10. 2024S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attackscited by 1
  11. 2025Synthetic Dataset Generation for Autonomous Mobile Robots Using 3D Gaussian Splatting for Vision Trainingcited by 1
  12. 2022Detection and Initial Assessment of Lunar Landing Sites Using Neural Networkscited by 0
9 more
  1. 2022A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networkscited by 0
  2. 2023Can the Query-based Object Detector Be Designed with Fewer Stages?cited by 0
  3. 2023How To Effectively Train An Ensemble Of Faster R-CNN Object Detectors To Quantify Uncertaintycited by 0
  4. 2023Assisting Blind People Using Object Detection with Vocal Feedbackcited by 0
  5. 2024Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representationscited by 0
  6. 2025LiCAR: pseudo-RGB LiDAR image for CAR segmentationcited by 0
  7. 2025DRiVE: Dynamic Recognition in VEhicles using snnTorchcited by 0
  8. 2025Improving Object Detection Performance through YOLOv8: A Comprehensive Training and Evaluation Studycited by 0
  9. 2026YOLOBirDrone: Dataset for Bird vs Drone Detection and Classification and a YOLO based enhanced learning architecturecited by 0