Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1615004(2025)

6D Pose Detection Method Based on Cross-Attention Weighting Mechanism

Yu Ye1, Jing Zhang1、*, Aimin Wang1, Heng Liu1, and Mingju Chen2
Author Affiliations
  • 1Southwest University of Science and Technology, School of Information Engineering, Mianyang 621010, Sichuan , China
  • 2Artificial Intelligence Key Laboratory of Sichuan Province, Sichuan University of Science & Engineering, Yibin 643002, Sichuan , China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (17)
    Equations (13)
    References (22)
    Tools
    Paper Information
    Topics
    References(22)

    [1] Chen H, Hsu C, Wang W. Object pose estimation system for pick and place automation[C](2020).

    [2] Liu J, Sun W, Yang H et al. Deep learning-based object pose estimation: a comprehensive survey[EB/OL]. https://arxiv.org/abs/2405.07801v3

    [3] Nguyen V N, Hu Y L, Xiao Y et al. Templates for 3D object pose estimation revisited: generalization to new objects and robustness to occlusions[C], 6761-6770(2022).

    [4] Xiang Y, Schmidt T, Narayanan V et al. PoseCNN: a convolutional neural network for 6D object pose estimation in cluttered scenes[EB/OL]. https://arxiv.org/abs/1711.00199v3

    [5] Wang C, Xu D F, Zhu Y K et al. DenseFusion: 6D object pose estimation by iterative dense fusion[C], 3338-3347(2019).

    [6] Zhang H, Goodfellow I, Metaxas D et al. Self-attention generative adversarial networks[EB/OL]. https://arxiv.org/abs/1805.08318v2

    [7] Wu Y Z, Javaheri A, Zand M et al. Keypoint cascade voting for point cloud based 6DoF pose estimation[C], 176-186(2022).

    [8] Lu Y H, Deng B X, Wang Z Y et al. Hybrid physical metric for 6-DoF grasp pose detection[C], 8238-8244(2022).

    [9] Yu X M, Tang L L, Rao Y M et al. Point-BERT: pre-training 3D point cloud transformers with masked point modeling[C], 19291-19300(2022).

    [10] Gao J J, Lan J H, Wang B X et al. SDANet: spatial deep attention-based for point cloud classification and segmentation[J]. Machine Learning, 111, 1327-1348(2022).

    [11] Zhai W G, Wang F, Ma X Y et al. YSG-SLAM: real-time semantic RGB-D SLAM system based on YOLACT for dynamic scenes[J/OL]. Journal of Ordnance Engineering, 1-13. http://kns.cnki.net/kcms/detail/11.2176.tj.20240830.1441.008.html

    [12] Zhu J J, Li T S, Zhao M Y. Research on pixel-level grabbing detection algorithm based on RGB-D[J]. Transducer and Microsystem Technologies, 43, 133-136(2024).

    [13] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).

    [14] Song C, Song J R, Huang Q X. HybridPose: 6D object pose estimation under hybrid representations[C], 428-437(2020).

    [15] Islam M J, Mo J W, Sattar J. Robot-to-robot relative pose estimation using humans as markers[J]. Autonomous Robots, 45, 579-593(2021).

    [16] Tian M, Pan L, Ang M H et al. Robust 6D object pose estimation by learning RGB-D features[C], 6218-6224(2020).

    [17] Chen B, Chin T J, Klimavicius M. Occlusion-robust object pose estimation with holistic representation[C], 2223-2233(2022).

    [18] Chen H Z, Manhardt F, Navab N et al. TexPose: neural texture learning for self-supervised 6D object pose estimation[C], 4841-4852(2023).

    [19] Petitjean T, Wu Z W, Laligant O et al. QaQ: robust 6D pose estimation via quality-assessed RGB-D fusion[C](2023).

    [20] Hong J X, Zhang H B, Liu J H et al. A Transformer-based multi-modal fusion network for 6D pose estimation[J]. Information Fusion, 105, 102227(2024).

    [21] Li Q N, Hu R M, Xiao J et al. Learning latent geometric consistency for 6D object pose estimation in heavily cluttered scenes[J]. Journal of Visual Communication and Image Representation, 70, 102790(2020).

    [22] Jiang X K, Li D H, Chen H et al. Uni6D: a unified CNN framework without projection breakdown for 6D pose estimation[C], 11164-11174(2022).

    Tools

    Get Citation

    Copy Citation Text

    Yu Ye, Jing Zhang, Aimin Wang, Heng Liu, Mingju Chen. 6D Pose Detection Method Based on Cross-Attention Weighting Mechanism[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1615004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Jan. 3, 2025

    Accepted: Mar. 12, 2025

    Published Online: Aug. 11, 2025

    The Author Email: Jing Zhang (zhangjing@swust.edu.cn)

    DOI:10.3788/LOP250443

    CSTR:32186.14.LOP250443

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology