1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning
Jianglin Lu, Jie Zhou, Yudong Chen +2
Thanks to the efficient retrieval speed and low storage consumption, learning to hash has been widely used in visual retrieval tasks. However, existing hashing methods assume that…
cs.CV2021★ 1 cited
Deep Asymmetric Hashing with Dual Semantic Regression and Class Structure Quantization
Jianglin Lu, Hailing Wang, Jie Zhou +2
Recently, deep hashing methods have been widely used in image retrieval task. Most existing deep hashing approaches adopt one-to-one quantization to reduce information loss. Howeve…
cs.CV2021
Deep Superpixel Cut for Unsupervised Image Segmentation
Qinghong Lin, Weichan Zhong, Jianglin Lu
Image segmentation, one of the most critical vision tasks, has been studied for many years. Most of the early algorithms are unsupervised methods, which use hand-crafted features t…