A fine-grained Korean street-view benchmark shows that adding captions with place names to photos lets vision-language models pinpoint locations at high rates, highlighting privacy exposure.
In Computer Vision – ECCV 2016: 14th European Conference , pages 37–55, Amster- dam, The Netherlands
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Toward Reliable VLM: A Fine-Grained Benchmark and Framework for Exposure, Bias, and Inference in Korean Street Views
A fine-grained Korean street-view benchmark shows that adding captions with place names to photos lets vision-language models pinpoint locations at high rates, highlighting privacy exposure.