Titlebook: Computer Vision; Second CCF Chinese C Jinfeng Yang,Qinghua Hu,Deyu Meng Conference proceedings 2017 Springer Nature Singapore Pte Ltd. 2017

VALID

Ran Canetti,Pratik Sarkar,Xiao Wang criteria, we also developed hierarchical evaluation criteria for image retrieval and classification tasks. The results show that the proposed method improves the accuracy of supervised hashing in both types of criteria.

油毡

中和

档案

Outwit

Hierarchical Hashing for Image Retrieval criteria, we also developed hierarchical evaluation criteria for image retrieval and classification tasks. The results show that the proposed method improves the accuracy of supervised hashing in both types of criteria.

Inordinate

Uncovering the Effect of Visual Saliency on Image Retrievalems by a learning process. Extensive experiments on a generally used image benchmark demonstrate that the new image retrieval system remarkably outperforms the original one and other traditional ones.

cajole

Preserve

轻触

阻碍