CogVis achieves state-of-the-art open-vocabulary change detection on seven remote-sensing benchmarks by computing a reusable category-agnostic change prior once per image pair and calibrating per-query decision thresholds from a memory bank.
Proceedings of the 38th International Conference on Machine Learning (ICML) , pages=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
CogVis: Must Open-Vocabulary Change Detection Perceive the Scene Anew for Every Query?
CogVis achieves state-of-the-art open-vocabulary change detection on seven remote-sensing benchmarks by computing a reusable category-agnostic change prior once per image pair and calibrating per-query decision thresholds from a memory bank.