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Square superpixels, generated via granular ball computing, unlock efficient parallel processing and end-to-end optimization in deep learning pipelines by replacing irregular shapes with multi-scale square blocks.
YOLO can learn faster and better by strategically skipping redundant images during training, achieving a 1.43x speedup and improved accuracy with a new Anti-Forgetting Sampling Strategy.