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A sparse contrastive loss is more proposed to coach our model with sparse supervision. Our new formulation generates a 3D heatmap indicating the plausibility of all place/scale mixtures in a single community forward pass, that's more than 10 moments more quickly as opposed to former sliding-window method. What's more, it supports interactive search
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