nuScenes: A multimodal dataset for autonomous driving

CVPR 2020 Holger CaesarVarun BankitiAlex H. LangSourabh VoraVenice Erin LiongQiang XuAnush KrishnanYu PanGiancarlo BaldanOscar Beijbom

Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology. Image based benchmark datasets have driven development in computer vision tasks such as object detection, tracking and segmentation of agents in the environment... (read more)

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Results from the Paper


#3 best model for 3D Object Detection on nuScenes (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT LEADERBOARD
3D Object Detection nuScenes PointPillars (KITTI) NDS 44.8 # 4
3D Object Detection nuScenes PointPillars (ImageNet) NDS 44.9 # 3
3D Object Detection nuScenes PointPillars NDS 44.2 # 5

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet