6 papers · 1 filter
DGST : Discriminator Guided Scene Text detector
Jinyuan Zhao, Yanna Wang, Baihua Xiao +3
Scene text detection task has attracted considerable attention in computer vision because of its wide application. In recent years, many researchers have introduced methods of sema…
Adversarial Soft-detection-based Aggregation Network for Image Retrieval
Jian Xu, Chunheng Wang, Cunzhao Shi +1
In recent year, the compact representations based on activations of Convolutional Neural Network (CNN) achieve remarkable performance in image retrieval. However, retrieval of some…
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Chen Du, Chunheng Wang, Yanna Wang +2
Different layers of deep convolutional neural networks(CNNs) can encode different-level information. High-layer features always contain more semantic information, and low-layer fea…
Unsupervised Semantic-based Aggregation of Deep Convolutional Features
Jian Xu, Chunheng Wang, Chengzuo Qi +2
In this paper, we propose a simple but effective semantic-based aggregation (SBA) method. The proposed SBA utilizes the discriminative filters of deep convolutional layers as seman…
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-scale Image Retrieval
Jian Xu, Chunheng Wang, Chengzuo Qi +2
Existing manifold learning methods are not appropriate for image retrieval task, because most of them are unable to process query image and they have much additional computational…
Unsupervised Part-based Weighting Aggregation of Deep Convolutional Features for Image Retrieval
Jian Xu, Cunzhao Shi, Chengzuo Qi +2
In this paper, we propose a simple but effective semantic part-based weighting aggregation (PWA) for image retrieval. The proposed PWA utilizes the discriminative filters of deep c…