most citedTSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection

2 citations · 2 across the 3 of their papers we have counts for

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cs.CV2025

SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments

Yinqi Chen, Meiying Zhang, Qi Hao +1

Accurate perception of dynamic traffic scenes is crucial for high-level autonomous driving systems, requiring robust object motion estimation and instance segmentation. However, tr…

cs.CV2024★ 2 cited

TSceneJAL: Joint Active Learning of Traffic Scenes for 3D Object Detection

Chenyang Lei, Weiyuan Peng, Guang Zhou +4

Most autonomous driving (AD) datasets incur substantial costs for collection and labeling, inevitably yielding a plethora of low-quality and redundant data instances, thereby compr…