WebApr 14, 2024 · Currently, related applications in object detection have gradually matured. The field is mainly divided into two-stage algorithms represented by Faster Region-based … WebAug 8, 2024 · With the recent development in single stage object detection and underlying algorithms, they have become significantly better in comparison with most of the two stage object detectors. Moreover, with the advent of YOLOs, various applications have utilized YOLOs for object detection and recognition in various context and performed …
Underwater object detection algorithm based on feature
WebDeep learning (DL)-based object detection algorithms have gained impressive achievements in natural images and have gradually matured in recent years. However, compared with natural images, remote sensing images are faced with severe challenges due to the complex backgrounds and difficult detection of small objects in dense scenes. To address these … WebJul 28, 2024 · Multi-stage (Two-stage) object detection. One of the most fundamental and widely researched challenges in computer vision is object detection. The task aims to draw multiple bounding boxes of ... pops repair shop
A Real-Time Object Detector for Autonomous Vehicles Based on ... - Hindawi
WebFeb 1, 2024 · A new real-timeSmall object detection (RSOD) algorithm based on YOLOv3 is proposed, which improves the small object detection accuracy by using feature maps of a shallower layer containing more fine-grained information for location prediction and improving the excitation layer in Squeeze-and-Excitation attention mechanism. 17. WebFaster R-CNN is a classical and high-precision two-stage object detection method. In this paper, an improved Faster R-CNN model is proposed. On the basis of Faster R-CNN, multi … WebApr 14, 2024 · Currently, related applications in object detection have gradually matured. The field is mainly divided into two-stage algorithms represented by Faster Region-based Convolutional Neural Network (Faster RCNN) (Chen and Gupta, 2024) and one-stage algorithms represented by You Only Look Once (YOLOv3) (Redmon and Farhadi, 2024). shark apex zero m troubleshooting