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FlexFlood: Efficiently Updatable Learned Multi-dimensional Index
Fuma Hidaka, Yusuke Matsui
A learned multi-dimensional index is a data structure that efficiently answers multi-dimensional orthogonal queries by understanding the data distribution using machine learning mo…
High-Frequency Anti-DreamBooth: Robust Defense against Personalized Image Synthesis
Takuto Onikubo, Yusuke Matsui
Recently, text-to-image generative models have been misused to create unauthorized malicious images of individuals, posing a growing social problem. Previous solutions, such as Ant…
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval
Ryoya Nara, Yu-Chieh Lin, Yuji Nozawa +4
Many image retrieval studies use metric learning to train an image encoder. However, metric learning cannot handle differences in users' preferences, and requires data to train an…
ZoDi: Zero-Shot Domain Adaptation with Diffusion-Based Image Transfer
Hiroki Azuma, Yusuke Matsui, Atsuto Maki
Deep learning models achieve high accuracy in segmentation tasks among others, yet domain shift often degrades the models' performance, which can be critical in real-world scenario…