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A sparse contrastive loss is further proposed to train our product with sparse supervision. Our new formulation generates a 3D heatmap indicating the plausibility of all site/scale mixtures in one network ahead move, which can be above 10 situations a lot quicker when compared to the past sliding-window system. Furthermore, it supports interactive