Exploring Latent Transferability of feature components

Published: 01 Jan 2025, Last Modified: 24 Oct 2025Pattern Recognit. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•This paper introduces two new types of partially transferable features components.•The proposed model consists of rough feature disentanglement and dynamic adjustment.•This proposed model is more applicable to diverse and complex application scenarios.
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