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A sparse contrastive loss is further proposed to prepare our product with sparse supervision. Our new formulation generates a 3D heatmap indicating the plausibility of all area/scale combos in one network ahead go, and that is above ten instances a lot quicker in comparison to the earlier sliding-window process. It also supports interactive lookup