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cs.CV2025
CoLLM: A Large Language Model for Composed Image Retrieval
Chuong Huynh, Jinyu Yang, Ashish Tawari +5
Composed Image Retrieval (CIR) is a complex task that aims to retrieve images based on a multimodal query. Typical training data consists of triplets containing a reference image,…
cs.CV2024
Bringing Multimodality to Amazon Visual Search System
Xinliang Zhu, Michael Huang, Han Ding +10
Image to image matching has been well studied in the computer vision community. Previous studies mainly focus on training a deep metric learning model matching visual patterns betw…
cs.CV2024★ 1 cited
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs
Sirnam Swetha, Jinyu Yang, Tal Neiman +5
Recent advancements in Multimodal Large Language Models (MLLMs) have revolutionized the field of vision-language understanding by integrating visual perception capabilities into La…