3 citations · 8 across the 12 of their papers we have counts for
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cs.CV2026
Out-of-Distribution Detection Based on Total Variation Estimation
Dabiao Ma, Zhiba Su, Jian Yang +1
This paper introduces a novel approach to securing machine learning model deployments against potential distribution shifts in practical applications, the Total Variation Out-of-Di…
cs.CV2024
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning
Xudong Yan, Songhe Feng, Yang Zhang +3
Compositional zero-shot learning (CZSL) aims to recognize novel compositions of attributes and objects learned from seen compositions. Previous works disentangle attributes and obj…