In recent decades, image processing and computer vision models have played a vital role in moving object ... region-based convolutional neural network (RCNN), and RetinaNet. Li et al. (2021) ...

Abstract: Many advanced object detection ... losses in this regression method, which increases the difficulty of model learning. Circular smooth label (CSL) solved this problem well by transforming ...

Abstract: In this paper, we present a novel object ... a single model. Furthermore, we also exploit the additional information of the aspect ratio during the training of the Joint ...

Recently, several 3D object detection methods adopt IoU-based optimization ... IoU to model the intersection of two rotated 3D bounding boxes. This design is further set as the optimization target to ...

At present, some methods of defect detection in industrial applications are often based on object detection ... but their model complexity is higher, and the detection speed is slow. On this basis, ...

This repository includes the implentation of the methods in Representation Based Regression for Object ... 46.1 The left color images of object dataset and the corresponding training labels can be ...

The basic theory of YOLO series object detection algorithms is discussed ... It can satisfy the nonlinear regression of the model and effectively reduces the calculation amount of the model. However, ...