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Laura E. Brandt

1 accepted papers

2024

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

ICLR 2024poster

Deep features are a cornerstone of computer vision research, capturing image semantics and enabling the community to solve downstream tasks even in the zero- or few-shot regime. However, these features often lack the spatial resolution to directly perform dense prediction tasks like segmentation and…