111 citations · 309 across the 22 of their papers we have counts for
4 papers · 1 filter
Deep Negative Correlation Classification
Le Zhang, Qibin Hou, Yun Liu +4
Ensemble learning serves as a straightforward way to improve the performance of almost any machine learning algorithm. Existing deep ensemble methods usually naively train many dif…
Weakly Supervised 3D Point Cloud Segmentation via Multi-Prototype Learning
Yongyi Su, Xun Xu, Kui Jia
Addressing the annotation challenge in 3D Point Cloud segmentation has inspired research into weakly supervised learning. Existing approaches mainly focus on exploiting manifold an…
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving
Jinpeng Lin, Zhihao Liang, Shengheng Deng +5
3D object detection has recently received much attention due to its great potential in autonomous vehicle (AV). The success of deep learning based object detectors relies on the av…
Bootstrap Motion Forecasting With Self-Consistent Constraints
Maosheng Ye, Jiamiao Xu, Xunnong Xu +3
We present a novel framework to bootstrap Motion forecasting with Self-consistent Constraints (MISC). The motion forecasting task aims at predicting future trajectories of vehicles…