On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
Recognizing an object’s category and pose lies at the heart of visual understanding. Recent works suggest that deep neural networks (DNNs) often fail to generalize to category-pose combinations not seen during training. However, it is unclear when and how such generalization may be possible. Does th...
| Main Authors: | , , , , , , , , |
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| Format: | Technical Report |
| Published: |
Center for Brains, Minds and Machines (CBMM)
2020
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| Online Access: | https://hdl.handle.net/1721.1/126262 |