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Found 5 papers, 4 papers with code
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation
Novel Instance Detection and Segmentation (NIDS) aims at detecting and segmenting novel object instances given a few examples of each instance.
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features
In order to successfully perform manipulation tasks in new environments, such as grasping, robots must be proficient in segmenting unseen objects from the background and/or other objects.
SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes
We present a new reproducible benchmark for evaluating robot manipulation in the real world, specifically focusing on pick-and-place.
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
By applying multi-object tracking and video object segmentation on the images collected via robot pushing, our system can generate segmentation masks of all the objects in these images in a self-supervised way.
Mean Shift Mask Transformer for Unseen Object Instance Segmentation
To illustrate the effectiveness of our method, we apply MSMFormer to unseen object instance segmentation.
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Unseen Object Instance Segmentation
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