6 citations · 15 across the 5 of their papers we have counts for
5 papers
New Perspective on Progressive GANs Distillation for One-class Novelty Detection
Zhiwei Zhang, Yu Dong, Hanyu Peng +1
One-class novelty detection is conducted to identify anomalous instances, with different distributions from the expected normal instances. In this paper, the Generative Adversarial…
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
Zhiwei Zhang, Shifeng Chen, Lei Sun
One-class novelty detection is to identify anomalous instances that do not conform to the expected normal instances. In this paper, the Generative Adversarial Networks (GANs) based…
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval
Ming Zhang, Xuefei Zhe, Le Ou-Yang +2
Deep hashing models have been proposed as an efficient method for large-scale similarity search. However, most existing deep hashing methods only utilize fine-level labels for trai…
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval
Xuefei Zhe, Shifeng Chen, Hong Yan
Deep distance metric learning (DDML), which is proposed to learn image similarity metrics in an end-to-end manner based on the convolution neural network, has achieved encouraging…
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
Xuefei Zhe, Shifeng Chen, Hong Yan
Deep supervised hashing has emerged as an influential solution to large-scale semantic image retrieval problems in computer vision. In the light of recent progress, convolutional n…