Abstract: Object detection is a fundamental task in many applications of remote sensing image analysis. Problems such as interclass similarity, intraclass variability, and the existence of ...

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...

Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...

Official PyTorch implementation of the method SLidR. More details can be found in the paper: Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data, CVPR 2022 [arXiv] by Corentin ...

Few-shot object detection addresses the challenge of recognising and localising novel object categories from only a handful of annotated examples. Traditional deep-learning detectors demand extensive ...

A stealthy Python-based backdoor framework capable of long-term surveillance and credential theft has been identified targeting Windows systems. According to research from Securonix, the malware, ...

Cybersecurity researchers have disclosed details of a stealthy Python-based backdoor framework called DEEP#DOOR that comes with capabilities to establish persistent access and harvest a wide range of ...