111 citations · 187 across the 3 of their papers we have counts for
5 papers · 1 filter
Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis
Letian Zhang, Quan Cui, Bingchen Zhao +1
The success of multi-modal large language models (MLLMs) has been largely attributed to the large-scale training data. However, the training data of many MLLMs is unavailable due t…
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval
Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei +2
Retrieving content relevant images from a large-scale fine-grained dataset could suffer from intolerably slow query speed and highly redundant storage cost, due to high-dimensional…
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou, Quan Cui, Xiu-Shen Wei +1
Our work focuses on tackling the challenging but natural visual recognition task of long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes h…
Deep Learning for Fine-Grained Image Analysis: A Survey
Xiu-Shen Wei, Jianxin Wu, Quan Cui
Computer vision (CV) is the process of using machines to understand and analyze imagery, which is an integral branch of artificial intelligence. Among various research areas of CV,…
RPC: A Large-Scale Retail Product Checkout Dataset
Xiu-Shen Wei, Quan Cui, Lei Yang +2
Over recent years, emerging interest has occurred in integrating computer vision technology into the retail industry. Automatic checkout (ACO) is one of the critical problems in th…