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Found 2 papers, 1 papers with code
Deep Template-based Object Instance Detection
In this context, we propose a generic 2D object instance detection approach that uses example viewpoints of the target object at test time to retrieve its 2D location in RGB images, without requiring any additional training (i. e. fine-tuning) step.
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
We then show that the performance of the detector can be substantially improved by using a small set of weakly annotated real images, where a human provides only a list of objects present in each image without indicating the location of the objects.
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