3 citations · 3 across the 4 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images
David B. Adrian, Andras Gabor Kupcsik, Markus Spies +1
Robot manipulation relying on learned object-centric descriptors became popular in recent years. Visual descriptors can easily describe manipulation task objectives, they can be le…
cs.CV2018
Weakly supervised collective feature learning from curated media
Yusuke Mukuta, Akisato Kimura, David B Adrian +1
The current state-of-the-art in feature learning relies on the supervised learning of large-scale datasets consisting of target content items and their respective category labels.…