Abstract: Weakly supervised object detection (WSOD) trains detectors by only weak labels, aiming to save the burden of expensive bounding box-level annotations. Most previous efforts formulate WSOD as ...
Abstract: Active learning (AL) can significantly reduce the overall amount of training data required to achieve near-optimal performance. Despite the notable advancements in active learning for image ...
The following Tweakpane will be automatically generated and displayed over your page: Changes to variables are applied immediately, and then persisted to local storage. Any variable changes are ...
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