Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
The research paper by Zhong, Bhattad, Wang, and Forsyth from the University of Illinois Urbana-Champaign investigates the lack of equivariance in state-of-the-art depth and normal predictors. Despite strong performances, these…
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