Understanding the Robustness of Vision Models and Humans to Occlusion-Based Corruptions
Humans are excellent object recognizers. Not only can they identify fully visible objects, but they can also recognize objects that are partially blocked from view (i.e., occluded). Moreover, vision models have made substantial progress in object recognition over the past decade. However, their prof...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/151342 |