1 code implementation • 22 Oct 2022 • Yan Qi, Han Sun, Ningzhong Liu, Huiyu Zhou
The goal of fine-grained few-shot learning is to recognize sub-categories under the same super-category by learning few labeled samples.
1 code implementation • 14 Oct 2022 • Xinyu Guan, Han Sun, Ningzhong Liu, Huiyu Zhou
In this paper, a novel framework named PCSR is proposed to tackle SFDA via a novel intra-class Polycentric Clustering and Structural Regularization strategy.
Source-Free Domain Adaptation Unsupervised Domain Adaptation
1 code implementation • 19 Aug 2022 • Han Sun, Zhaoxin Fan, Zhenbo Song, Zhicheng Wang, Kejian Wu, Jianfeng Lu
The insight behind introducing MonoSIM is that we propose to simulate the feature learning behaviors of a point cloud based detector for monocular detector during the training period.
no code implementations • 21 Jul 2022 • Han Sun, Yu Chen
Real-time monitoring and action recognition are essential to raise an alert timely when abnormal behaviors or unusual activities occur.
1 code implementation • 5 Jul 2022 • Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou
Specifically, the position enhancement stage consists of a semantic attention module and a contextual attention module to accurately describe the approximate location of salient objects.
1 code implementation • 18 May 2022 • Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou
Meanwhile, in order to accurately detect complete salient objects in complex backgrounds, we design an attention-based pyramid feature aggregation mechanism for gradually aggregating and refining the salient regions from the multi-scale context extraction module.
1 code implementation • 21 Aug 2021 • Han Sun, Yetong Bian, Ningzhong Liu, Huiyu Zhou
Deep-learning based salient object detection methods achieve great improvements.
1 code implementation • 21 Aug 2021 • Han Sun, Lei Lin, Ningzhong Liu, Huiyu Zhou
In this paper, we propose a Robust Ensembling Network (REN) for UDA, which applies a robust time ensembling teacher network to learn global information for domain transfer.
1 code implementation • 8 Aug 2021 • Han Sun, Jun Cen, Ningzhong Liu, Dong Liang, Huiyu Zhou
The semantic representation of deep features is essential for image context understanding, and effective fusion of features with different semantic representations can significantly improve the model's performance on salient object detection.
1 code implementation • ICCV 2019 • Han Sun, Zhiyuan Chen, Shiyang Yan, Lin Xu
It leads to significant improvements in both convergence rate and recognition performance.
no code implementations • CVPR 2019 • Lin Xu, Han Sun, Yuai Liu
It can accelerate the convergence rate significantly while achieving a state-of-the-art recognition performance.