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Annealing-based data augmentation lets you train a YOLOv10 detector to spot more fish in murky underwater images.
Forget repeatedly re-running inference on residual graphs: this GNN-guided Ford-Fulkerson algorithm learns edge importance probabilities to dramatically accelerate max-flow computation and image segmentation.