Description
YOLOv2, or YOLO9000, is a single-stage real-time object detection model. It improves upon YOLOv1 in several ways, including the use of Darknet-19 as a backbone, batch normalization, use of a high-resolution classifier, and the use of anchor boxes to predict bounding boxes, and more.
Papers Using This Method
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation2023-12-28Area is all you need: repeatable elements make stronger adversarial attacks2023-06-13Improved Type III solar radio burst detection using congruent deep learning models2023-05-16YOWO-Plus: An Incremental Improvement2022-10-20People detection and social distancing classification in smart cities for COVID-19 by using thermal images and deep learning algorithms2022-09-10YOLO and Mask R-CNN for Vehicle Number Plate Identification2022-07-26Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds2022-07-25Detecting Cloud-Based Phishing Attacks by Combining Deep Learning Models2022-04-05Efficient Placard Discovery for Semantic Mapping During Frontier Exploration2021-10-27PhiNets: a scalable backbone for low-power AI at the edge2021-10-01MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference2021-07-14Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches2021-03-16RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection2021-02-09ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums2021-02-01Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA2020-11-05Dynamic Adversarial Patch for Evading Object Detection Models2020-10-25Multilanguage Number Plate Detection using Convolutional Neural Networks2020-08-18Deep Learning for Image-based Automatic Dial Meter Reading: Dataset and Baselines2020-05-06FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks2020-03-27ParkingSticker: A Real-World Object Detection Dataset2020-01-31