BloomCoreset uses Bloom filters on binarized OpenCLIP features to sample image coresets from large open-set pools, cutting sampling time by 98.5% with an average 0.83% accuracy trade-off.
Pointnet: Deep learning on point sets for 3d classification and segmentation,
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BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning
BloomCoreset uses Bloom filters on binarized OpenCLIP features to sample image coresets from large open-set pools, cutting sampling time by 98.5% with an average 0.83% accuracy trade-off.