6 citations · 8 across the 7 of their papers we have counts for
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cs.CV2024
Generalizing to Out-of-Sample Degradations via Model Reprogramming
Runhua Jiang, Yahong Han
Existing image restoration models are typically designed for specific tasks and struggle to generalize to out-of-sample degradations not encountered during training. While zero-sho…
cs.CV2024
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization
Deng Li, Aming Wu, Yaowei Wang +1
Single-domain generalization aims to learn a model from single source domain data to achieve generalized performance on other unseen target domains. Existing works primarily focus…
cs.CV2024★ 2 cited
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei, Yahong Han
Federated Domain Generalization aims to learn a domain-invariant model from multiple decentralized source domains for deployment on unseen target domain. Due to privacy concerns, t…