ADADEDUP adaptively prunes object detection datasets by combining semantic clustering with proxy-model loss feedback, matching full-data mAP at 20% pruning.
Sse: Multimodal semantic data selection and enrichment for industrial-scale data assimilation.ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2025
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AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training
ADADEDUP adaptively prunes object detection datasets by combining semantic clustering with proxy-model loss feedback, matching full-data mAP at 20% pruning.