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Which learning paradigm (e.g. supervised, self-supervised, unsupervised, reinforcement learning) do brains use to acquire visual skills?
2019 Community Moderator ElectionCan I use unsupervised learning followed by supervised learning?Which type of machine learning to useWhich supervised learning algorithms are available for matching?Is what I did supervised or unsupervised Machine learning?How to use deep learning to add local (e.g. repairing) transformations to images?Training an AI to play Starcraft 2 with superhuman level of performance?Supervised Learning could be biased if we use obsolete dataWhat machine learning algorithms to use for unsupervised POS tagging?Reinforcement learning - How to deal with varying number of actions which do number approximationWhich reinforcement learning methods can be trained off-policy?
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In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) and segmentation (pixel-level masks). But animals don't need anybody to show them bounding boxes or masks on top of things in order for them to develop the visual skills to detect objects and make sense of the visual world around them. My educated guess is that brains must be performing some kind of self-supervision to train their visual neural networks. Does anybody know which learning paradigm are brains using to achieve such an outstanding level of visual competence? Are there any works on replicating this paradigm in computer vision?
machine-learning neural-network computer-vision
asked 18 mins ago
Pablo MessinaPablo Messina
435
$endgroup$
add a comment |
$begingroup$
In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) and segmentation (pixel-level masks). But animals don't need anybody to show them bounding boxes or masks on top of things in order for them to develop the visual skills to detect objects and make sense of the visual world around them. My educated guess is that brains must be performing some kind of self-supervision to train their visual neural networks. Does anybody know which learning paradigm are brains using to achieve such an outstanding level of visual competence? Are there any works on replicating this paradigm in computer vision?
machine-learning neural-network computer-vision
asked 18 mins ago
Pablo MessinaPablo Messina
435
$endgroup$
add a comment |
$begingroup$
In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) and segmentation (pixel-level masks). But animals don't need anybody to show them bounding boxes or masks on top of things in order for them to develop the visual skills to detect objects and make sense of the visual world around them. My educated guess is that brains must be performing some kind of self-supervision to train their visual neural networks. Does anybody know which learning paradigm are brains using to achieve such an outstanding level of visual competence? Are there any works on replicating this paradigm in computer vision?
machine-learning neural-network computer-vision
asked 18 mins ago
Pablo MessinaPablo Messina
435
$endgroup$
In computer vision is very common to use supervised tasks, where datasets have to be manually annotated by humans. Some examples are object classification (class labels), detection (bounding boxes) and segmentation (pixel-level masks). But animals don't need anybody to show them bounding boxes or masks on top of things in order for them to develop the visual skills to detect objects and make sense of the visual world around them. My educated guess is that brains must be performing some kind of self-supervision to train their visual neural networks. Does anybody know which learning paradigm are brains using to achieve such an outstanding level of visual competence? Are there any works on replicating this paradigm in computer vision?
machine-learning neural-network computer-vision
machine-learning neural-network computer-vision
asked 18 mins ago
Pablo MessinaPablo Messina
435
asked 18 mins ago
Pablo MessinaPablo Messina
435
edited 11 mins ago
Pablo Messina
asked 18 mins ago
Pablo MessinaPablo Messina
435
asked 18 mins ago
Pablo MessinaPablo Messina
435
asked 18 mins ago
Pablo MessinaPablo Messina
435
435
add a comment |
add a comment |
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