May 7, 2024 · We propose a cross-modal dense cooperative fusion net, which provides state-of-the-art performance with less computation and parameters.
It can both effectively fuse cross-modal information and save computation. Comprehensive experiments on multiple benchmark datasets for RGB-D SOD show that ...
Semantic Scholar extracted view of "CMDCF: an effective cross-modal dense cooperative fusion network for RGB-D SOD" by Xingzhao Jia et al.
Aug 20, 2024 · It can both effectively fuse cross-modal information and save computation. Comprehensive experiments on multiple benchmark datasets for RGB-D ...
CMDCF: an effective cross-modal dense cooperative fusion network for RGB-D SOD. https://doi.org/10.1007/s00521-024-09692-0 ·. Journal: Neural Computing and ...
The cross-modal feature aggregation module. The red arrows represent... CMDCF: an effective cross-modal dense cooperative fusion network for RGB-D SOD.
CMDCF: an effective cross-modal dense cooperative fusion network for RGB-D SOD. Published in: Neural Computing & Applications, 2024, v. 36, n. 23, p. 14361 ...
Jun 22, 2023 · First, a dense-to-sparse cross-modal learning module ... CMDCF: an effective cross-modal dense cooperative fusion network for RGB-D SOD.
Oct 19, 2024 · In this paper, we propose a dual Mamba-driven cross-modal fusion network for RGB-D SOD, named MambaSOD. Specifically, we first employ a dual Mamba-driven ...
Missing: CMDCF: dense cooperative
CMDCF: an effective cross-modal dense cooperative fusion network for RGB-D SOD. XingZhao Jia, WenXiu Zhao, YuMei Wang, ChangLei DongYe, YanJun Peng. https ...