ZODS-RS introduces a zero-training closed-form pipeline using DINOv3 dense features and SAM-style proposals for horizontal-box detection and instance segmentation in remote-sensing imagery.
Regionclip: Region-based language- image pretraining.arXiv preprint arXiv:2112.09106, 2021
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A patch-based fusion method extends CLIP to high-resolution images by retaining multi-scale details for improved class-prompted retrieval.
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ZODS-RS -- Zero-training Oriented Detection & Segmentation for Remote Sensing
ZODS-RS introduces a zero-training closed-form pipeline using DINOv3 dense features and SAM-style proposals for horizontal-box detection and instance segmentation in remote-sensing imagery.
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DetailCLIP: Injecting Image Details into CLIP's Feature Space
A patch-based fusion method extends CLIP to high-resolution images by retaining multi-scale details for improved class-prompted retrieval.