The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples belong to target-private unknown categories. Existing methods tackle this ...
Abstract: Sparsification and low-rank decomposition are two important techniques to compress deep neural network (DNN) models. To date, these two popular yet distinct approaches are typically used in ...
Abstract: The C4F7N/CO2/O2 ternary gas mixture, with its excellent environmental and insulating properties, has emerged as one of the most promising alternatives to SF6 and has seen initial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results