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The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...
Semi-supervised object detection (SSOD) is a significant application of Semi-supervised learning to further improve object detectors but suffers more seriously ...
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several blobs) and grouping ...
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This list is shown with a detail view. Note: This example uses an intermediate container class to display a list non-persistent objects. In this case, the ObjectsGetting method cannot be applied. If ...