Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
This repo is an official implementation of "Memory Enhanced Global-Local Aggregation for Video Object Detection", accepted by CVPR 2020. This repository contains a PyTorch implementation of our ...
Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...
T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...
Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...
Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, People’s Republic of China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Fudan ...
When using notebooks/adversarial_patch/attack_adversarial_patch_pytorch_yolo.ipynb, training a patch also impacts the object detection model resulting in lowered ...
Abstract: This work presents to detect road signs in a few seconds for avoid accidents. For this work, there is utilized YOLO v5 object detection algorithm with PyTorch. In this method, image ...
The detection of crucial components in the power distribution network is of great significance for ensuring the safe operation of the power grid. However, the challenges posed by complex environmental ...
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