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Jin Shang

2 accepted papers

2025

Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection

UAI 2025

Continual learning (CL) has gained increasing interest in recent years due to the need for models that can continuously learn new tasks while retaining knowledge from previous ones. However, existing CL methods often require either computationally expensive layer-wise gradient projections or large-s

Cited by 0SourcePDFScholar
2023

Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis

CVPR 2023poster

Fashion representation learning involves the analysis and understanding of various visual elements at different granularities and the interactions among them. Existing works often learn fine-grained fashion representations at the attribute-level without considering their relationships and inter-depe…

Cited by 12SourcePDFScholar