GitHub

xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motion

Object discovery, which refers to the task of localizing objects without human annotations, has gained significant attention in 2D image analysis. However, despite this growing interest, it remains ...
IEEE

Shadow-Analyzer: An Efficient Neural Networks-Based Ghost Objects Detection for Autonomous Vehicles

Abstract: Several studies have been conducted to investigate the security and reliability of object detection systems in Autonomous Vehicles (AVs), which rely on sensors such as cameras and Light ...
IEEE

A Contrastive-Learning Framework for Unsupervised Salient Object Detection

Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level saliency priors, such as center and background priors, to detect salient objects, resulting in ...
GitHub

Real-Time Object Detection Meets DINOv3

DEIMv2 is an evolution of the DEIM framework while leveraging the rich features from DINOv3. Our method is designed with various model sizes, from an ultra-light version up to S, M, L, and X, to be ...