Inaccurate Label Distribution Learning with Dependency Noise

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng, | Summary: In this paper, we introduce the Dependent Noise-based Inaccurate Label Distribution Learning (DN-ILDL) framework to tackle the challenges posed by noise in label distribution learning, which arise from dependencies on instances and labels. We start by modeling […]


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Multi-Modal UAV Detection, Classification and Tracking Algorithm — Technical Report for CVPR 2024 UG2 Challenge

Posted by dbos UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Tianchen Deng, Yi Zhou, Wenhua Wu, Mingrui Li, Jingwei Huang | Summary: This technical report presents the 1st winning model for UG2+, a task in CVPR 2024 UAV Tracking and Pose-Estimation Challenge. This challenge faces difficulties in drone detection, UAV-type classification and 2D/3D trajectory estimation in extreme […]


Continue.. Multi-Modal UAV Detection, Classification and Tracking Algorithm — Technical Report for CVPR 2024 UG2 Challenge