Zobrazeno 1 - 3
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pro vyhledávání: '"Ernst, Markus Roland"'
Publikováno v:
Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2020) 327-332
Recurrent connectivity in the visual cortex is believed to aid object recognition for challenging conditions such as occlusion. Here we investigate if and how artificial neural networks also benefit from recurrence. We compare architectures composed
Externí odkaz:
http://arxiv.org/abs/2104.10615
Feedforward convolutional neural networks are the prevalent model of core object recognition. For challenging conditions, such as occlusion, neuroscientists believe that the recurrent connectivity in the visual cortex aids object recognition. In this
Externí odkaz:
http://arxiv.org/abs/1909.06175
Publikováno v:
In: Tetko, I. V. et al. (eds.) ICANN 2019. LNCS, vol 11729. Springer, Cham, pp 294-305
Recurrent connections in the visual cortex are thought to aid object recognition when part of the stimulus is occluded. Here we investigate if and how recurrent connections in artificial neural networks similarly aid object recognition. We systematic
Externí odkaz:
http://arxiv.org/abs/1907.08831