104 citations · 153 across the 10 of their papers we have counts for
10 papers
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…
Multiple Code Hashing for Efficient Image Retrieval
Ming-Wei Li, Qing-Yuan Jiang, Wu-Jun Li
Due to its low storage cost and fast query speed, hashing has been widely used in large-scale image retrieval tasks. Hash bucket search returns data points within a given Hamming r…
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.…
On the Evaluation Metric for Hashing
Qing-Yuan Jiang, Ming-Wei Li, Wu-Jun Li
Due to its low storage cost and fast query speed, hashing has been widely used for large-scale approximate nearest neighbor (ANN) search. Bucket search, also called hash lookup, ca…
Deep Discrete Supervised Hashing
Qing-Yuan Jiang, Xue Cui, Wu-Jun Li
Hashing has been widely used for large-scale search due to its low storage cost and fast query speed. By using supervised information, supervised hashing can significantly outperfo…
Asymmetric Deep Supervised Hashing
Qing-Yuan Jiang, Wu-Jun Li
Hashing has been widely used for large-scale approximate nearest neighbor search because of its storage and search efficiency. Recent work has found that deep supervised hashing ca…
Discrete Latent Factor Model for Cross-Modal Hashing
Qing-Yuan Jiang, Wu-Jun Li
Due to its storage and retrieval efficiency, cross-modal hashing~(CMH) has been widely used for cross-modal similarity search in multimedia applications. According to the training…
Deep Cross-Modal Hashing
Qing-Yuan Jiang, Wu-Jun Li
Due to its low storage cost and fast query speed, cross-modal hashing (CMH) has been widely used for similarity search in multimedia retrieval applications. However, almost all exi…