A Dimension Apart Module (DAM) is first designed to be lightweight and capable of extracting temporal-spatial information from the RAMap sequences.
Aug 24, 2021 · In this paper, we propose a dimension apart network (DANet) for radar object detection task. A Dimension Apart Module (DAM) is first designed ...
[99] proposes a network called DANet, which, by the extraction of temporal and multi-scale spatial features, detects objects in range-angle radar images. [101] ...
Extensive experiments demonstrate that our proposed DANet achieves superior performance on the radar detection task at much less computational cost, compared to ...
2021-Scene-aware Learning Network for Radar Object Detection; 2021-DANet: Dimension Apart Network for Radar Object Detection; 2021-Efficient-ROD: Efficient ...
Ref. [22] proposed a dimension apart network (DANet) fo a radar object detection task to be lightweight and capable of extracting temporal-spati information ...
"DANet: Dimension Apart Network for Radar Object Detection." In Proceedings of the 2021 International Conference on Multimedia Retrieval (ICMR), Taipei ...
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May 20, 2024 · This paper presents a new convolutional and recurrent neural network (CRNN) for radar spectra. Unlike most multi-frame radar object detectors, ...
This paper presents the TC–Radar model, a novel approach that synergistically integrates the strengths of transformer and the convolutional neural network (CNN)
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues ... DANet: Dimension Apart Network for Radar ...