Mar 24, 2022 · In this paper, we introduce the first DETR framework for Monocular DEtection with a depth-guided TRansformer, named MonoDETR. We modify the ...
MonoDETR is the first DETR-based model for monocular 3D detection without additional depth supervision, anchors or NMS. We enable the vanilla transformer in ...
In this paper, we introduce the first DETR framework for. Monocular DEtection with a depth-guided TRansformer, named MonoDETR. We modify the vanilla transformer.
Our MonoDETR applies learnable object queries for detection and leverages Hun- garian algorithm for bipartite matching. (5) NMS Post-. Processing. MonoDTR still ...
Mar 11, 2024 · In this paper, we introduce a novel framework for Monocular DEtection with a depth-guided TRansformer, named MonoDETR. We modify the vanilla ...
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What is monocular 3D object detection?
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In this paper, we introduce the first DETR framework for. Monocular DEtection with a depth-guided TRansformer, named MonoDETR. We modify the vanilla transformer.
Monocular 3D object detection has long been a challenging task in autonomous driving. Most existing methods follow conventional 2D detectors to first localize ...
This paper introduces the first DETR framework for Monocular DEtection with a depth-guided TRansformer, named MonoDETR, and modify the vanilla transformer ...
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Depth-guided Transformer for Monocular 3D Object Detection
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Jan 18, 2024 · Object Detection. Conference Paper. MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection. October 2023. DOI:10.1109/ICCV51070 ...