Nov 1, 2024 · To this end, we propose the Cross-Dimensional Attention Fusion-based indoor 3D object detection method (CDAF3D). This method dynamically learns ...
Nov 1, 2024 · This method dynamically learns geometric information with corresponding 2D image texture details through a cross-dimensional attention mechanism ...
To this end, we propose the Cross-Dimensional Attention Fusion-based indoor 3D object detection method (CDAF3D). This method dynamically learns geometric ...
CDAF3D: Cross-Dimensional Attention Fusion for Indoor 3D Object Detection. Shilin Wang, Hai Huang, Yueyan Zhu, Zhenqi Tang. Pages 165-177. Download chapter PDF ...
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To this end, we propose the Cross-Dimensional Attention Fusion-based indoor 3D object detection method (CDAF3D). This method dynamically learns geometric ...
CDAF3D: Cross-Dimensional Attention Fusion for Indoor 3D Object Detection ... GFENet: Group-Free Enhancement Network for Indoor Scene 3D Object Detection.
Jul 20, 2024 · Unlike the conventional methods, our BAFusion module can adaptively learn the cross-modal attention weights, making the approach more flexible ...
Missing: CDAF3D: | Show results with:CDAF3D:
Oct 22, 2024 · Recently, fusing the LiDAR point cloud and camera image to improve the performance and robustness of 3D object detection has received more ...
Oct 23, 2020 · A two-phase cross-modality fusion detector is proposed in this study for robust and high-precision 3D object detection with RGB images and LiDAR point clouds.
Feb 20, 2022 · We propose a novel 3D attention-based relation module (ARM3D). It encompasses object-aware relation reasoning to extract pair-wise relation contexts.
Missing: CDAF3D: Cross- Dimensional Fusion