all AI news
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking
March 26, 2024, 4:49 a.m. | Shitong Sun, Fanghua Ye, Shaogang Gong
cs.CV updates on arXiv.org arxiv.org
Abstract: Composed image retrieval attempts to retrieve an image of interest from gallery images through a composed query of a reference image and its corresponding modified text. It has recently attracted attention due to the collaboration of information-rich images and concise language to precisely express the requirements of target images. Most current composed image retrieval methods follow a supervised learning approach to training on a costly triplet dataset composed of a reference image, modified text, and …
abstract arxiv attention collaboration concept cs.cv express free image images information language query reference requirements retrieval text through training type zero-shot
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York