TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection
Most single-stage 3D object detectors complete different tasks with the same extracted features. Nevertheless, it is impossible to project features into a common space that is adaptive for all the tasks. We present a novel task-aware deformable prediction (TADP) method for single-stage 3D object detection to solve this problem. Firstly, a triple feature refinement aggregation module is designed to extract three-level features adaptively. Additionally, we design the multi-scale feature aggregation block to fuse multi-scale features in a scale-aware manner. Finally, the prediction of each task i
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- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Su Wang →
“TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection”
- LinkedLinked via arxiv author · 85%Yaochen Li →
“TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection”
- LinkedLinked via arxiv author · 85%Min Yang →
“TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection”
- LinkedLinked via arxiv author · 85%Jiaohao Nie →
“TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection”
- LinkedLinked via arxiv author · 85%Chang Liu →
“TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection”