169 citations · 394 across the 26 of their papers we have counts for
14 papers · 1 filter
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
Erkun Yang, Tongliang Liu, Cheng Deng +2
Due to the high storage and search efficiency, hashing has become prevalent for large-scale similarity search. Particularly, deep hashing methods have greatly improved the search p…
Semantic Adversarial Network for Zero-Shot Sketch-Based Image Retrieval
Xinxun Xu, Hao Wang, Leida Li +1
Zero-shot sketch-based image retrieval (ZS-SBIR) is a specific cross-modal retrieval task for retrieving natural images with free-hand sketches under zero-shot scenario. Previous w…
Deep Spectral Clustering using Dual Autoencoder Network
Xu Yang, Cheng Deng, Feng Zheng +2
The clustering methods have recently absorbed even-increasing attention in learning and vision. Deep clustering combines embedding and clustering together to obtain optimal embeddi…
Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search
Xianglong Liu, Lei Huang, Cheng Deng +2
Hash based nearest neighbor search has become attractive in many applications. However, the quantization in hashing usually degenerates the discriminative power when using Hamming…
Shared Predictive Cross-Modal Deep Quantization
Erkun Yang, Cheng Deng, Chao Li +3
With explosive growth of data volume and ever-increasing diversity of data modalities, cross-modal similarity search, which conducts nearest neighbor search across different modali…
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Cheng Deng, Xianglong Liu, Chao Li +1
Recent years have witnessed the quick progress of the hyperspectral images (HSI) classification. Most of existing studies either heavily rely on the expensive label information usi…