most citedInterpolation variable rate image compression

18 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

2nd Place Solution to Google Landmark Retrieval 2021

Zhang Yuqi, Xu Xianzhe, Chen Weihua +4

This paper presents the 2nd place solution to the Google Landmark Retrieval 2021 Competition on Kaggle. The solution is based on a baseline with training tricks from person re-iden…

eess.IV202118 cited

Interpolation variable rate image compression

Zhenhong Sun, Zhiyu Tan, Xiuyu Sun +4

Compression standards have been used to reduce the cost of image storage and transmission for decades. In recent years, learned image compression methods have been proposed and ach…

cs.LG2021

Fine-Grained AutoAugmentation for Multi-Label Classification

Ya Wang, Hesen Chen, Fangyi Zhang +4

Data augmentation is a commonly used approach to improving the generalization of deep learning models. Recent works show that learned data augmentation policies can achieve better…

cs.LG20212 cited

Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection

Cangning Fan, Fangyi Zhang, Peng Liu +5

Previous transfer methods for anomaly detection generally assume the availability of labeled data in source or target domains. However, such an assumption is not valid in most real…

eess.IV20216 cited

Spatiotemporal Entropy Model is All You Need for Learned Video Compression

Zhenhong Sun, Zhiyu Tan, Xiuyu Sun +4

The framework of dominant learned video compression methods is usually composed of motion prediction modules as well as motion vector and residual image compression modules, suffer…