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AkademBaseЭкотизим учун очиқ API
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Иш: The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots

  1. Deep Residual Learning for Image Recognition

    Kaiming He, Xiangyu Zhang, Shaoqing Ren +1

    Мақола201661 иқтибос
    ABI

  2. ImageNet classification with deep convolutional neural networks

    Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

    Мақола201723 иқтибос
    ABI

  3. Adam: A Method for Stochastic Optimization

    Diederik P. Kingma, Jimmy Ba

    Препринт201419 иқтибос
    ABI

  4. Сарлавҳасиз

    Бошқа17 иқтибос
    ABI

  5. Сарлавҳасиз

    Бошқа12 иқтибос
    ABI

  6. ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky, Jia Deng, Hao Su +9

    Мақола201511 иқтибос
    ABI

  7. Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin, Michael Maire, Serge Belongie +5

    Боб20147 иқтибос
    ABI

  8. PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

    Xiang Yu, Tanner Schmidt, Venkatraman Narayanan +1

    Препринт20184 иқтибос
    ABI

  9. Multitask Learning

    Rich Caruana

    Мақола19974 иқтибос
    ABI

  10. Сарлавҳасиз

    Бошқа3 иқтибос
    ABI

  11. BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth

    Mahdi Rad, Vincent Lepetit

    Препринт20172 иқтибос
    ABI

  12. Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images

    Saurabh Gupta, Pablo Arbeláez, Jitendra Malik

    Мақола20132 иқтибос
    ABI

  13. Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

    Arun Mallya, Dillon Davis, Svetlana Lazebnik

    Боб20182 иқтибос
    ABI

  14. Сарлавҳасиз

    Мақола2 иқтибос
    ABI

  15. Learning multiple visual domains with residual adapters

    Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi

    Мақола20172 иқтибос
    ABI

  16. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  17. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI

  18. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem

    Michael McCloskey, Neal J. Cohen

    Боб19892 иқтибос
    ABI

  19. Large-Scale Machine Learning with Stochastic Gradient Descent

    Léon Bottou

    Боб20102 иқтибос
    ABI

  20. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI