Papers › CenterFormer: Center-based Transformer for 3D Object Detection

CenterFormer: Center-based Transformer for 3D Object Detection

12 Sep 2022arXiv:2209.05588archive 2025-07-28

Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, Hassan Foroosh

Query-based transformer has shown great potential in constructing long-range attention in many image-domain tasks, but has rarely been considered in LiDAR-based 3D object detection due to the overwhelming size of the point cloud data. In this paper, we propose CenterFormer, a center-based transformer network for 3D object detection. CenterFormer first uses a center heatmap to select center candidates on top of a standard voxel-based point cloud encoder. It then uses the feature of the center candidate as the query embedding in the transformer. To further aggregate features from multiple frames, we design an approach to fuse features through cross-attention. Lastly, regression heads are added to predict the bounding box on the output center feature representation. Our design reduces the convergence difficulty and computational complexity of the transformer structure. The results show significant improvements over the strong baseline of anchor-free object detection networks. CenterFormer achieves state-of-the-art performance for a single model on the Waymo Open Dataset, with 73.7% mAPH on the validation set and 75.6% mAPH on the test set, significantly outperforming all previously published CNN and transformer-based methods. Our code is publicly available at https://github.com/TuSimple/centerformer

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Attention TuSimple/centerformer/det3d/models/utils/transformer.py official repository ran · metamorphic tier: invariant MIT (permissive) · f275792db636f6c2 · report
Cross_attention TuSimple/centerformer/det3d/models/utils/transformer.py official repository ran MIT (permissive) · 93c62cc8cf84c976 · report
FeedForward TuSimple/centerformer/det3d/models/utils/transformer.py official repository ran · metamorphic tier: invariant MIT (permissive) · 5bed147705c744c0 · report
GELU TuSimple/centerformer/det3d/models/utils/transformer.py official repository ran · metamorphic tier: invariant fingerprinted MIT (permissive) · df7c47c3705203bd · report
PreNorm_CA TuSimple/centerformer/det3d/models/utils/transformer.py official repository ran · metamorphic tier: invariant MIT (permissive) · c08a897ca7755fd5 · report
Transformer TuSimple/centerformer/det3d/models/utils/transformer.py official repository unverified MIT (permissive) · c5bfe39beec59e53 · report

Tasks

3D Object DetectionObjectObject Detectionobject-detection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
3D Object Detection Waymo Open Dataset CenterFormer mAPH/L2 68.9 #7 of 8 Archive leaderboard report
3D Object Detection waymo cyclist CenterFormer APH/L2 73.3 #2 of 7 Archive leaderboard report
3D Object Detection waymo pedestrian CenterFormer APH/L2 75.0 #3 of 7 Archive leaderboard report
3D Object Detection waymo vehicle CenterFormer APH/L2 73.8 #3 of 8 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

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