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.
In: Proceedings of the IEEE/CVF International Con- ference on Computer Vision
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An asynchronous fast-slow dual-system with DiT action modeling and time-weighted loss doubles unseen aerial VLN success rates and halves decision latency in simulation.
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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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FSD-VLN: Fast-Slow Dual-System Modeling for Aerial Long-Horizon Vision-Language Navigation
An asynchronous fast-slow dual-system with DiT action modeling and time-weighted loss doubles unseen aerial VLN success rates and halves decision latency in simulation.