ABOUT TOPANBET RTP

A sparse contrastive loss is further proposed to teach our model with sparse supervision. Our new formulation generates a 3D heatmap indicating the plausibility of all locale/scale mixtures in one community forward pass, which can be around ten occasions a lot quicker in comparison to the preceding sliding-window approach. Additionally, it supports