3 citations · 4 across the 11 of their papers we have counts for
5 papers · 1 filter
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset
Anh Duong, Alexandre Almin, Léo Lemarié +1
Active Learning (AL) has remained relatively unexplored for LiDAR perception tasks in autonomous driving datasets. In this study we evaluate Bayesian active learning methods applie…
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes
Sugirtha T, Sridevi M, Khailash Santhakumar +4
Modern object detection architectures are moving towards employing self-supervised learning (SSL) to improve performance detection with related pretext tasks. Pretext tasks for mon…
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation
Ngoc Phuong Anh Duong, Alexandre Almin, Léo Lemarié +1
Autonomous driving (AD) datasets have progressively grown in size in the past few years to enable better deep representation learning. Active learning (AL) has re-gained attention…
Exploring 2D Data Augmentation for 3D Monocular Object Detection
Sugirtha T, Sridevi M, Khailash Santhakumar +3
Data augmentation is a key component of CNN based image recognition tasks like object detection. However, it is relatively less explored for 3D object detection. Many standard 2D o…
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles
Leonardo Gigli, B Ravi Kiran, Thomas Paul +4
Point cloud datasets for perception tasks in the context of autonomous driving often rely on high resolution 64-layer Light Detection and Ranging (LIDAR) scanners. They are expensi…