Fine-tuned Florence-2 detects rotated aerial objects in text form and matches conventional detectors under the paper's confidence-free mAPnc and mF1 metrics.
Geochat: Grounded large vision-language model for remote sensing,
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
-
A Simple Aerial Detection Baseline of Multimodal Language Models
Fine-tuned Florence-2 detects rotated aerial objects in text form and matches conventional detectors under the paper's confidence-free mAPnc and mF1 metrics.