论文信息 - From active perception to deep learning

From active perception to deep learning

Computer vision diverged from robotics and has focused on contests and data sets; reconnecting the two could solve real-world problems. Computer vision diverged from robotics and has focused on contests and data sets; reconnecting the two could solve real-world problems.

Danica Kragic | D. Kragic

[1] Vijay Kumar,et al. The grand challenges of Science Robotics , 2018, Science Robotics.

[2] Yoshua Bengio,et al. Generative Adversarial Networks , 2014, ArXiv.

[3] Alan Yuille,et al. Active Vision , 2014, Computer Vision, A Reference Guide.

[4] Yiannis Aloimonos,et al. Active vision , 2004, International Journal of Computer Vision.

[5] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[6] Ulrich W. Eisenecker,et al. AI: The Tumultuous History of the Search for Artificial Intelligence , 1995 .

[7] H. Barlow. Vision: A computational investigation into the human representation and processing of visual information: David Marr. San Francisco: W. H. Freeman, 1982. pp. xvi + 397 , 1983 .