Self -supervised learning obtains supervisory signals from the data itself, often leveraging the underlying structure in the data. The general technique of self- ... ... <看更多>
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Self -supervised learning obtains supervisory signals from the data itself, often leveraging the underlying structure in the data. The general technique of self- ... ... <看更多>
We can achieve this by framing a supervised learning task in a special form to predict only a subset of information using the rest. In this way, ... ... <看更多>
Self -Supervised Learning has become an exciting direction in AI community. Jitendra Malik: "Supervision is the opium of the AI researcher"; Alyosha Efros: "The ... ... <看更多>
The term self-supervised learning has been widely used to refer to techniques that do not use human-annotated datasets to learn (visual) representations of the ... ... <看更多>
The context encoder structures its self-supervised learning task by inpainting masked images. For example, the figure below shows different masking shapes, such ... ... <看更多>
Self -supervised learning has been on the rise over the past few years. Compared to other learning methods such as supervised and ... ... <看更多>