Jan 3, 2023 · In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection.
CMT is a robust 3D detector for end-to-end 3D multi-modal detection. A DETR-like framework is designed for multi-modal detection(CMT) and lidar-only ...
A robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection that achieves 74.1% NDS on nuScenes test set while ...
Some object-centric methods [1,7, 43, 45,46,58] have carefully designed multimodal fusion perception modules to enhance the performance of 3D object detection.
Oct 1, 2023 · Cross Modal Transformer: Towards Fast and Robust 3D Object Detection · Junjie Yan · Yingfei Liu · JIANJIAN SUN · Fan Jia · Shuailin Li · Tiancai Wang ...
In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection. Without explicit view ...
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May 29, 2024 · In this paper, we elaborate on the practical application and demonstration of Cross-Modal Transformer (CMT) for. Track 5 – Robust ...
In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection.
May 29, 2024 · In this paper, we elaborate on the practical application and demonstration of Cross-Modal Transformer (CMT) for Track 5-Robust Multi-Modal ...