Multimodal Object Detection via Probabilistic a priori Information Integration
HE Hafyani, B Pasdeloup, C Yver… - arXiv preprint arXiv …, 2024 - arxiv.org
Multimodal object detection has shown promise in remote sensing. However, multimodal
data frequently encounter the problem of low-quality, wherein the modalities lack strict cell-to-
cell alignment, leading to mismatch between different modalities. In this paper, we
investigate multimodal object detection where only one modality contains the target object
and the others provide crucial contextual information. We propose to resolve the alignment
problem by converting the contextual binary information into probability maps. We then …
data frequently encounter the problem of low-quality, wherein the modalities lack strict cell-to-
cell alignment, leading to mismatch between different modalities. In this paper, we
investigate multimodal object detection where only one modality contains the target object
and the others provide crucial contextual information. We propose to resolve the alignment
problem by converting the contextual binary information into probability maps. We then …
Multimodal Object Detection via Probabilistic a priori Information Integration
H El Hafyani, B Pasdeloup, C Yver… - arXiv e …, 2024 - ui.adsabs.harvard.edu
Multimodal object detection has shown promise in remote sensing. However, multimodal
data frequently encounter the problem of low-quality, wherein the modalities lack strict cell-to-
cell alignment, leading to mismatch between different modalities. In this paper, we
investigate multimodal object detection where only one modality contains the target object
and the others provide crucial contextual information. We propose to resolve the alignment
problem by converting the contextual binary information into probability maps. We then …
data frequently encounter the problem of low-quality, wherein the modalities lack strict cell-to-
cell alignment, leading to mismatch between different modalities. In this paper, we
investigate multimodal object detection where only one modality contains the target object
and the others provide crucial contextual information. We propose to resolve the alignment
problem by converting the contextual binary information into probability maps. We then …
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