DroneFINE is a domain-aware PEFT approach for VLM-based drone detectors using foreground-aware multi-path adaptation and text-conditioned background suppression, outperforming standard PEFT and matching full fine-tuning on VisDrone and UAVDT with fewer trainable parameters.
arXiv preprint arXiv:2408.12246 (2024)
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DisDop distills complementary priors from RemoteCLIP and DINOv3 via teacher fusion and semantic modeling to reach new state-of-the-art results on open-vocabulary aerial detection benchmarks.
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DroneFINE: Domain-Aware Parameter-Efficient Fine-Tuning of Vision-Language Detectors for Drone Images
DroneFINE is a domain-aware PEFT approach for VLM-based drone detectors using foreground-aware multi-path adaptation and text-conditioned background suppression, outperforming standard PEFT and matching full fine-tuning on VisDrone and UAVDT with fewer trainable parameters.
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DisDop: Distillation with Domain Priors for Open-Vocabulary Aerial Object Detection
DisDop distills complementary priors from RemoteCLIP and DINOv3 via teacher fusion and semantic modeling to reach new state-of-the-art results on open-vocabulary aerial detection benchmarks.