Category: IEEE 2017

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval  Abstract: Deep convolutional neural network models pre-trained for the ImageNet classification task have been successfully adopted to tasks in other domains, such as texture description and object proposal generation, but these tasks require annotations for images in the new domain. In this paper, we focus on a […]


Learning Short Binary Codes for Large-scale Image Retrieval

Learning Short Binary Codes for Large-scale Image Retrieval  Abstract: Large-scale visual information retrieval has become an active research area in this big data era. Recently, hashing/binary coding algorithms prove to be effective for scalable retrieval applications. Most existing hashing methods require relatively long binary codes (i.e., over hundreds of bits, sometimes even thousands of bits) […]