SemDINO proposes a dual-branch encoder with DINOv3 features, multi-scale temporal interaction, and enhancement modules for improved semantic change detection in remote sensing.
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images,
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Pith papers citing it
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
STAR-IOD applies scale-decoupled topology alignment and K-Means-based pseudo-label refinement to reduce catastrophic forgetting in remote sensing incremental object detection, reporting 1.7% and 2.1% mAP gains on new DIOR-IOD and DOTA-IOD datasets.
citing papers explorer
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SemDINO: A DINOv3-Driven Network for Cross-Temporal Semantic Alignment in Change Detection
SemDINO proposes a dual-branch encoder with DINOv3 features, multi-scale temporal interaction, and enhancement modules for improved semantic change detection in remote sensing.
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STAR-IOD: Scale-decoupled Topology Alignment with Pseudo-label Refinement for Remote Sensing Incremental Object Detection
STAR-IOD applies scale-decoupled topology alignment and K-Means-based pseudo-label refinement to reduce catastrophic forgetting in remote sensing incremental object detection, reporting 1.7% and 2.1% mAP gains on new DIOR-IOD and DOTA-IOD datasets.