ATENA uses episodic success/failure labels and a mixture entropy objective to adapt vision-language navigation policies at test time, improving REVERIE, R2R, and R2R-CE benchmarks.
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Active Test-time Vision-Language Navigation
ATENA uses episodic success/failure labels and a mixture entropy objective to adapt vision-language navigation policies at test time, improving REVERIE, R2R, and R2R-CE benchmarks.