The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration
Active learning strategies for 3D object detection in autonomous driving datasets may help
to address challenges of data imbalance, redundancy, and high-dimensional data. We …
to address challenges of data imbalance, redundancy, and high-dimensional data. We …
ActiveAnno3D--An Active Learning Framework for Multi-Modal 3D Object Detection
The curation of large-scale datasets is still costly and requires much time and resources.
Data is often manually labeled, and the challenge of creating high-quality datasets remains …
Data is often manually labeled, and the challenge of creating high-quality datasets remains …
[引用][C] 3 차원객체검출을위한다중센서기반능동학습
황시환， 금동석 - 한국자동차공학회추계학술대회및전시회, 2023 - dbpia.co.kr
Perception models for autonomous driving based on deep learning models require vast high-
quality labeled datasets collected from diverse environments to operate globally and …
quality labeled datasets collected from diverse environments to operate globally and …