Researchers propose lightweight training strategy for efficient transfer learning by decoupling feature extraction and classifier optimization with margin-based weighted loss.
Read the original at arxiv.org→arXiv:2607.13043v1 Announce Type: new Abstract: Deep learning models achieve state-of-the-art image classification but face deployment challenges due to computational costs and energy demands. We propose a...
Original headline: "Beyond Backbone Backpropagation: A Decoupled Strategy for Efficient Transfer Learning"