Thermal-Det is the first LLM-supervised open-vocabulary thermal object detector, created via synthetic data conversion from GroundingCap-1M and RGB-to-thermal distillation, yielding 2-4% AP gains on benchmarks.
Adapter is all you need for tuning visual tasks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 2years
2026 2roles
method 1polarities
use method 1representative citing papers
Scene-graph-guided multimodal RAG improves aerial VQA by feeding query-relevant structured visual knowledge to a text LLM instead of dense visual tokens.
citing papers explorer
-
Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection
Thermal-Det is the first LLM-supervised open-vocabulary thermal object detector, created via synthetic data conversion from GroundingCap-1M and RGB-to-thermal distillation, yielding 2-4% AP gains on benchmarks.
-
AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning
Scene-graph-guided multimodal RAG improves aerial VQA by feeding query-relevant structured visual knowledge to a text LLM instead of dense visual tokens.