30 citations · 62 across the 11 of their papers we have counts for
4 papers · 1 filter
Robot-Supervised Learning for Object Segmentation
Victoria Florence, Jason J. Corso, Brent Griffin
To be effective in unstructured and changing environments, robots must learn to recognize new objects. Deep learning has enabled rapid progress for object detection and segmentatio…
BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
Brent A. Griffin, Jason J. Corso
Semi-supervised video object segmentation has made significant progress on real and challenging videos in recent years. The current paradigm for segmentation methods and benchmark…
Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot
Brent A. Griffin, Victoria Florence, Jason J. Corso
To be useful in everyday environments, robots must be able to identify and locate real-world objects. In recent years, video object segmentation has made significant progress on de…
Kinematically-Informed Interactive Perception: Robot-Generated 3D Models for Classification
Abhishek Venkataraman, Brent Griffin, Jason J. Corso
To be useful in everyday environments, robots must be able to observe and learn about objects. Recent datasets enable progress for classifying data into known object categories; ho…