Visual learning with limited supervision
Deep learning models have achieved remarkable success in many computer vision tasks. However, they typically rely on large amounts of carefully labeled training data whose annotating process is usually expensive, time-consuming and even infeasible when considering the task complexity and scarcity of...
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| Online Access: | http://hdl.handle.net/2047/D20416794 |