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Found 3 papers, 2 papers with code
Grasp, See and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
For the inner loop, we learn an active seeing policy for self-confident object matching to improve the perception of place.
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning
To disambiguate unknown objects and background in the first subtask, we propose to use classification-free region proposal network (CF-RPN) which estimates the objectness score of each region purely using cues from object's location and shape preventing overfitting to the training categories.
REDE: End-to-end Object 6D Pose Robust Estimation Using Differentiable Outliers Elimination
Object 6D pose estimation is a fundamental task in many applications.
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