736 citations · 1.2k across the 40 of their papers we have counts for
41 papers
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration
Haoyu Cao, Changcun Bao, Chaohu Liu +6
We propose a novel end-to-end document understanding model called SeRum (SElective Region Understanding Model) for extracting meaningful information from document images, including…
Turning a CLIP Model into a Scene Text Spotter
Wenwen Yu, Yuliang Liu, Xingkui Zhu +3
We exploit the potential of the large-scale Contrastive Language-Image Pretraining (CLIP) model to enhance scene text detection and spotting tasks, transforming it into a robust ba…
Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval
Yunquan Zhu, Xinkai Gao, Bo Ke +2
Image retrieval targets to find images from a database that are visually similar to the query image. Two-stage methods following retrieve-and-rerank paradigm have achieved excellen…
Pruning for Better Domain Generalizability
Xinglong Sun
In this paper, we investigate whether we could use pruning as a reliable method to boost the generalization ability of the model. We found that existing pruning method like L2 can…
Looking and Listening: Audio Guided Text Recognition
Wenwen Yu, Mingyu Liu, Biao Yang +5
Text recognition in the wild is a long-standing problem in computer vision. Driven by end-to-end deep learning, recent studies suggest vision and language processing are effective…
A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao +4
Recently, Multimodal Large Language Model (MLLM) represented by GPT-4V has been a new rising research hotspot, which uses powerful Large Language Models (LLMs) as a brain to perfor…