Summary of Gta: Guided Transfer Of Spatial Attention From Object-centric Representations, by Seokhyun Seo et al.
GTA: Guided Transfer of Spatial Attention from Object-Centric Representationsby SeokHyun Seo, Jinwoo Hong, JungWoo Chae,…
GTA: Guided Transfer of Spatial Attention from Object-Centric Representationsby SeokHyun Seo, Jinwoo Hong, JungWoo Chae,…
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer Learningby Suman Kunwar,…
Quantifying the value of information transfer in population-based SHMby Aidan J. Hughes, Jack Poole, Nikolaos…
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learningby Changdae Oh, Hyeji Hwang, Hee-young Lee, YongTaek…
Towards Understanding the Effect of Pretraining Label Granularityby Guan Zhe Hong, Yin Cui, Ariel Fuxman,…
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learningby Feng Wang, M. Cenk Gursoy, Senem VelipasalarFirst submitted…
A survey on domain adaptation theory: learning bounds and theoretical guaranteesby Ievgen Redko, Emilie Morvant,…