We conduct comprehensive experiments to verify the effectiveness and generalization ability of the framework across RGB-Depth, RGB-Polarization, and RGB-Thermal ...

We conduct comprehensive experiments to verify the effectiveness and generalization ability of the framework across RGB-Depth, RGB-Polarization, and RGB-.

Then, DoLP and AoLP are formally computed as: In our experiments, we further study monochromatic and trichromatic polarization cues, coupled with RGB images ...

In this work, we leverage non-local mechanism and design an attention-based fusion architecture for multimodal semantic segmentation generalizable across.

NLFNet: Non-Local Fusion Towards Generalized Multimodal Semantic Segmentation across RGB-Depth, Polarization, and Thermal Images ; Author: R. Yan, K. Yang, K.

This work takes the advantage of thermal images and fuse both the RGB and thermal information in a novel deep neural network that outperforms the state of ...

This article builds an end-to-end deep neural network that takes as input a pair of RGB and thermal images and outputs pixel-wise semantic labels and ...

Apr 12, 2024 · ... ., Wang K. NLFNet: Non-Local Fusion Towards Generalized Multimodal Semantic Segmentation across RGB-Depth, Polarization, and Thermal Images ...

... RGB-D Semantic Segmentation, ArXiv; R Yan, Book NLFNet: non-local fusion towards generalized multimodal semantic segmentation across RGBdepth, polarization ...

“NLFNet: Non-local fusion towards generalized multimodal semantic segmentation across RGB-depth, polarization, and thermal images.” in Proc IEEE int. conf ...