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pro vyhledávání: '"Ernst, Markus"'
Color constancy (CC) describes the ability of the visual system to perceive an object as having a relatively constant color despite changes in lighting conditions. While CC and its limitations have been carefully characterized in humans, it is still
Externí odkaz:
http://arxiv.org/abs/2404.08127
Autor:
Mattern, Dominik, Schumacher, Pierre, López, Francisco M., Raabe, Marcel C., Ernst, Markus R., Aubret, Arthur, Triesch, Jochen
Human intelligence and human consciousness emerge gradually during the process of cognitive development. Understanding this development is an essential aspect of understanding the human mind and may facilitate the construction of artificial minds wit
Externí odkaz:
http://arxiv.org/abs/2312.04318
Biological vision systems are unparalleled in their ability to learn visual representations without supervision. In machine learning, self-supervised learning (SSL) has led to major advances in forming object representations in an unsupervised fashio
Externí odkaz:
http://arxiv.org/abs/2207.13492
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
Akademický článek
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Autor:
Aegerter, Andrea M., Barbero, Marco, Brunner, Beatrice, Cornwall, Jon, Da Cruz Pereira, Yara, Deforth, Manja E., Distler, Oliver, Dratva, Julia, Dressel, Holger, Egli, Tobias, Elfering, Achim, Ernst, Markus J., Etzer-Hofer, Irene, Falla, Deborah, Gisler, Michelle, Haas, Michelle, Johnston, Venerina, Klaus, Sandro, Kobelt, Gina M., Lüdtke, Kerstin, Luomajoki, Hannu, Melloh, Markus, Nicoletti, Corinne, Niggli, Seraina, Nüssle, Achim, Richard, Salome, Sax, Nadine, Schülke, Katja, Sjøgaard, Gisela, Staub, Lukas, Volken, Thomas, Zweig, Thomas, Meichtry, André, Aegerter, Andrea Martina, Gallina, Alessio
Publikováno v:
In Musculoskeletal Science and Practice August 2023 66
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
Akademický článek
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