Pose estimation network based on attention feature fusion of multimodal data
Image Processing|更新时间:2025-04-09
|
Pose estimation network based on attention feature fusion of multimodal data
“In the field of 6D pose estimation, researchers have proposed an attention feature fusion network based on multimodal data, which effectively improves the accuracy and applicability of pose regression.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 4, Pages: 598-606(2025)
作者机构:
武汉科技大学 信息科学与工程学院, 湖北 武汉 430081
作者简介:
基金信息:
Hubei Provincial Engineering Research Center(ICP-KF-2024-08)
ZHAO Yuntao, DENG Xinhui. Pose estimation network based on attention feature fusion of multimodal data[J]. Chinese journal of liquid crystals and displays, 2025, 40(4): 598-606.
DOI:
ZHAO Yuntao, DENG Xinhui. Pose estimation network based on attention feature fusion of multimodal data[J]. Chinese journal of liquid crystals and displays, 2025, 40(4): 598-606. DOI: 10.37188/CJLCD.2024-0218. CSTR: 32172.14.CJLCD.2024-0218.
Pose estimation network based on attention feature fusion of multimodal data