104 citations · 153 across the 10 of their papers we have counts for
4 papers · 1 filter
Revisiting Scene Text Recognition: A Data Perspective
Qing Jiang, Jiapeng Wang, Dezhi Peng +2
This paper aims to re-assess scene text recognition (STR) from a data-oriented perspective. We begin by revisiting the six commonly used benchmarks in STR and observe a trend of pe…
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval
Yang Shen, Xuhao Sun, Xiu-Shen Wei +2
In this paper, we propose Suppression-Enhancing Mask based attention and Interactive Channel transformatiON (SEMICON) to learn binary hash codes for dealing with large-scale fine-g…
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…
Deep Multi-Index Hashing for Person Re-Identification
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
Traditional person re-identification (ReID) methods typically represent person images as real-valued features, which makes ReID inefficient when the gallery set is extremely large.…