SMART-Ship introduces a new synchronized multi-modal remote sensing dataset with fine-grained annotations for berthed ships and benchmarks for five interpretation tasks.
arXiv preprint arXiv:1909.05948 , year=
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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.
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SMART-Ship: A Comprehensive Synchronized Multi-modal Aligned Remote Sensing Targets Dataset and Benchmark for Berthed Ships Analysis
SMART-Ship introduces a new synchronized multi-modal remote sensing dataset with fine-grained annotations for berthed ships and benchmarks for five interpretation tasks.
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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.