A modal fusion network with dual attention mechanism for 6D pose estimation
Author:
Funder
Shandong Provincial Natural Science Foundation
Shandong Provincial Higher Education Science and Technology Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03614-w.pdf
Reference46 articles.
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2. Peng, S., Liu, Y., Huang, Q., et al.: Pvnet: pixel-wise voting network for 6d of pose estimation. IEEE Trans. Pattern Anal. Mach. Intell. 14, 4561–4570 (2019). https://doi.org/10.1109/TPAMI.2020.3047388
3. Zakharov, S., Shugurov, I., Ilic, S.: Dpod: 6d pose object detector and refiner. pp. 1941–1950 (2019). https://doi.org/10.1109/ICCV.2019.00203.
4. Kehl, W., Manhardt, F., Tombari F. et al.: Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again. pp. 1521–1529 (2017). https://doi.org/10.1109/ICCV.2017.169.
5. Tekin, B., Sinha, S.N., Fua, P.: Real-time seamless single shot 6d object pose prediction. pp. 292–301 (2018). https://doi.org/10.1109/CVPR.2018.00038.
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