Learning decomposed hierarchical feature for better transferability of deep models
Learning decomposed hierarchical feature for better transferability of deep models
The Hierarchical Transfer Network (HTN) leverages octave convolution, pyramid features, and self-attention mechanism for revamping the classic models, which can be further integrated with any domain alignment approaches by replacing the feature extractor with the proposed HTN.