A method combining head-conditioned local LoRA adaptation and out-of-cone penalty improves gaze reasoning in vision foundation models, yielding state-of-the-art results on GazeFollow and VAT datasets especially for non-salient targets.
Where are they looking? Advances in neural information processing systems, 28, 2015
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Enhancing Gaze Reasoning in Vision Foundation Models for Gaze Following
A method combining head-conditioned local LoRA adaptation and out-of-cone penalty improves gaze reasoning in vision foundation models, yielding state-of-the-art results on GazeFollow and VAT datasets especially for non-salient targets.