RADSeg adapts the RADIO model with targeted enhancements to deliver 6-30% higher mIoU in zero-shot OVSS while using 2.5x fewer parameters and running 3.95x faster than prior large-model combinations.
RA VEN: Resilient Aerial Navigation via Open-Set Semantic Memory and Behavior Adaptation
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
SAGE integrates CLIP embeddings into FALCON via object storage, temporal projection cache, object frontiers, and a bounded semantic-geometric cost, yielding 9-26x faster object discovery than FTU in simulation and higher object counts than FALCON in five real flights.
citing papers explorer
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RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models
RADSeg adapts the RADIO model with targeted enhancements to deliver 6-30% higher mIoU in zero-shot OVSS while using 2.5x fewer parameters and running 3.95x faster than prior large-model combinations.
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Semantic-Aware Guided Drone Exploration for Language-Conditioned 3D Indoor Mapping
SAGE integrates CLIP embeddings into FALCON via object storage, temporal projection cache, object frontiers, and a bounded semantic-geometric cost, yielding 9-26x faster object discovery than FTU in simulation and higher object counts than FALCON in five real flights.