A Fine-Grained Object Detection Model for Aerial Images Based on YOLOv5 Deep Neural Network Abstract: Many advanced object detection algorithms are mainly based on natural scenes object and rarely ...

Thanks for the OpenPCDet, this implementation of the RDIoU is mainly based on the pcdet v0.5.Our paper can be downloaded here ECCV2022.. Abstract: Since Intersection-over-Union (IoU) based ...

Representation Based Regression for Object Distance Estimation ... The supported models are DenseNet121, VGG19, and ResNet50 (DenseNet-121 [1], VGG19 [2], ResNet-50 [3]): ... We formulate the distance ...

YOLOv8 is an improved model in the YOLO object detection series. ... with independent classification and regression tasks, ... “Object detection based on deep learning of small samples,” in 2018 IEEE ...

Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...

2 Related work 2.1 CNN-based methods in wheat spike detection. CNNs have been widely used in computer vision tasks, such as image classification (Huang et al., 2017), object detection (Ren et al., ...