Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Cascade-RCNN是一种多级检测框架，通过串联多个检测器逐步提升检测精度。它的核心思想是：使用不同IoU阈值的检测器进行级联 ...

Abstract: This paper presents a memory-efficient Convolutional Neural Network (CNN) for multi-label object detection on the COCO dataset, targeting real-time applications. Our model achieves 59.5% mAP ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...

RF-DETR is a real-time, transformer-based object detection and instance segmentation model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time ...