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BCINet: Bilateral cross-modal interaction network for indoor ...
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由 W Zhou 著作2023被引用 44 次 — A novel RGB-D scene-understanding network called BCINet is presented, in which RGB and depth data bilaterally complement each other via a proposed bilateral ...
BCINet: : Bilateral cross-modal interaction network for indoor ...
ACM Digital Library
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ACM Digital Library
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由 W Zhou 著作2023被引用 44 次 — Herein, a novel RGB-D scene-understanding network called BCINet is presented, in which RGB and depth data bilaterally complement each other via a proposed ...
Bilateral cross-modal interaction network for indoor scene ...
OUCI
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BCINet: Bilateral cross-modal interaction network for indoor scene understanding in RGB-D images ... Authors: Wujie Zhou; Yuchun Yue; Meixin Fang; Xiaohong Qian ...
Yuchun Yue's research works | Zhejiang Sci-Tech ...
ResearchGate
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ResearchGate
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Wujie Zhou. ·. Yuchun Yue. ·. Meixin Fang. ·. [...] ·. Lu Yu · BCINet: Bilateral Cross-Modal Interaction Network for Indoor Scene Understanding in RGB-D Images.
AsymFormer: Asymmetrical Cross-Modal Representation ...
CVF Open Access
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CVF Open Access
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由 S Du 著作2024被引用 12 次 — This paper evaluates AsymFormer on two classic indoor scene semantic segmentation datasets: NYUv2 and SUN-. RGBD. Meanwhile, the inference speed test is also ...
8 頁
FRNet: Feature Reconstruction Network for RGB-D Indoor ...
ResearchGate
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ResearchGate
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2024年10月22日 — BCINet [64] uses spatial attention in their BCIM (Bilateral cross-modal interaction module) to capture cross-modal complementary features. ...
AsymFormer: Asymmetrical Cross-Modal Representation ...
arXiv
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arXiv
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Bcinet: Bilateral cross-modal interaction network for indoor scene understanding in rgb-d images. Information Fusion, 78:84–94, 2023. Generated on Wed May 1 ...
EFDCNet
GitHub
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GitHub
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由 J Chen 著作2024被引用 3 次 — In this paper, we propose a novel and effective solution, named. EFDCNet, for RGB-D indoor scene segmentation. For the encoding stage,. EFM is ...
11 頁
RGB-D joint modelling with scene geometric information for ...
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BCINet: Bilateral cross-modal interaction network for indoor scene understanding in RGB-D images · Wujie ZhouYu YueMeixin FangXiaolin QianRongwang YangLu Yu.