15 citations · 41 across the 8 of their papers we have counts for
5 papers · 1 filter
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
Jinpeng Wang, Bin Chen, Qiang Zhang +3
Deep quantization methods have shown high efficiency on large-scale image retrieval. However, current models heavily rely on ground-truth information, hindering the application of…
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge
Ziyun Zeng, Yuying Ge, Xihui Liu +4
Pre-training on large-scale video data has become a common recipe for learning transferable spatiotemporal representations in recent years. Despite some progress, existing methods…
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
Kuofeng Gao, Jiawang Bai, Bin Chen +2
A backdoored deep hashing model is expected to behave normally on original query images and return the images with the target label when a specific trigger pattern presents. To thi…
PHPQ: Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval
Ziyun Zeng, Jinpeng Wang, Bin Chen +3
Deep hashing approaches, including deep quantization and deep binary hashing, have become a common solution to large-scale image retrieval due to their high computation and storage…
Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
Jinpeng Wang, Ziyun Zeng, Bin Chen +2
The high efficiency in computation and storage makes hashing (including binary hashing and quantization) a common strategy in large-scale retrieval systems. To alleviate the relian…