most citedJoint Cluster Unary Loss for Efficient Cross-Modal Hashing

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2019

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…

cs.IR20191 cited

Joint Cluster Unary Loss for Efficient Cross-Modal Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

With the rapid growth of various types of multimodal data, cross-modal deep hashing has received broad attention for solving cross-modal retrieval problems efficiently. Most cross-…

cs.CV2019

Pairwise Teacher-Student Network for Semi-Supervised Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

Hashing method maps similar high-dimensional data to binary hashcodes with smaller hamming distance, and it has received broad attention due to its low storage cost and fast retrie…

cs.CV2018

ScratchDet: Training Single-Shot Object Detectors from Scratch

Rui Zhu, Shifeng Zhang, Xiaobo Wang +4

Current state-of-the-art object objectors are fine-tuned from the off-the-shelf networks pretrained on large-scale classification dataset ImageNet, which incurs some additional pro…

cs.CV2018

Semantic Cluster Unary Loss for Efficient Deep Hashing

Shifeng Zhang, Jianmin Li, Bo Zhang

Hashing method maps similar data to binary hashcodes with smaller hamming distance, which has received a broad attention due to its low storage cost and fast retrieval speed. With…