What are the different techniques being explored for generating explanations for object detection predictions?

Vehicle Classification and Tracking Using Convolutional Neural Network Based on Darknet Yolo with Coco Dataset. AI and Big Data in Engineering Applications ... YOLOv2 architecture. Darknet-19 backbone (layers 1 to 23) plus the detection head composed of the last four convolutional layers and the passthrough layer that ... Mar 28, 2024 ... ... YOLO Fastest 1.1, YOLOv3-tiny-PRN, YOLOv4-tiny, YOLOv7, and DenseNet121-YOLOv3. The training process utilizes the Darknet algorithm to ... Aug 2, 2021 ... In this tutorial, we will see how to use Jetson Xavier NX with YOLO v4 and darknet. In the past, we have already talked about the Nvidia ... Darknet Object Detection Framework and YOLO ... Darknet is an open source neural network framework written in C, C++, and CUDA. YOLO (You Only Look Once) is a ... Mar 7, 2024 ... In this section, I'll show you how to train YOLO models on custom data sets. First of all, we're going to create a directory in which we're going to train our ... Oct 12, 2022 ... We can use AMD GPUs (literally any GPU which has OpenCL support) on FreeBSD to do accelerated YOLO 3 machine vision AI/ML tasks. Jan 29, 2024 ... YOLO (You only look once) is a state-of-the-art, real-time object detection system of Darknet, an open source neural network framework in C. Dec 5, 2021 ... Darknet is famous for its Real-time object detection architecture: YOLO but it has several other models and architecture also. We can use these as per our ... Jun 6, 2018 ... Notes on YOLO (darknet) on ROS integration with my ROS project. · imageSubscriber_ = imageTransport_.subscribe(cameraTopicName, cameraQueueSize,