attribute matching 1composed image retrieval 1llm reranking 1vision-free retrieval 1zero-shot learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Towards Vision-Free CIR: Attribute-Augmented Scoring and LLM-Based Reranking for Zero-Shot Composed Image Retrieval
Ryotaro Shimada, Yu-Chieh Lin, Yuji Nozawa +3
The paper proposes a vision‑free framework for composed image retrieval that uses attribute‑augmented scoring to recover visual details and a large language model for reranking to…
cs.CV2026
CIRCLED: A Multi-turn CIR Dataset with Consistent Dialogues across Domains
Tomohisa Takeda, Yu-Chieh Lin, Yuji Nozawa +3
Existing Multi-Turn Composed Image Retrieval (MTCIR) datasets lack dialogue-historyconsistency and are restricted to the fashion domain. To address these limitations, we construct…
cs.CV2025
Prompt-Guided Attention Head Selection for Focus-Oriented Image Retrieval
Yuji Nozawa, Yu-Chieh Lin, Kazumoto Nakamura +1
The goal of this paper is to enhance pretrained Vision Transformer (ViT) models for focus-oriented image retrieval with visual prompting. In real-world image retrieval scenarios, b…