1 code implementation • NeurIPS 2023 • Hao Dong, Ismail Nejjar, Han Sun, Eleni Chatzi, Olga Fink
In real-world scenarios, achieving domain generalization (DG) presents significant challenges as models are required to generalize to unknown target distributions.
1 code implementation • 13 Oct 2023 • Jiamei Liu, Han Sun, Yizhen Jia, Jie Qin, Huiyu Zhou, Ningzhong Liu
Domain adaptation aims to alleviate the domain shift when transferring the knowledge learned from the source domain to the target domain.
1 code implementation • 21 Sep 2023 • Zixuan Yin, Han Sun, Ningzhong Liu, Huiyu Zhou, Jiaquan Shen
In this paper, we propose Fine-Grained Lidar-Camera Fusion (FGFusion) that make full use of multi-scale features of image and point cloud and fuse them in a fine-grained way.
no code implementations • 5 Jul 2023 • Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Luc van Gool
Intrigued by this result, we set out to explore how well diffusion-pretrained representations generalize to new domains, a crucial ability for any representation.
no code implementations • 7 Jun 2023 • Han Sun, Rui Gong, Konrad Schindler, Luc van Gool
Domain adaptive object detection aims to leverage the knowledge learned from a labeled source domain to improve the performance on an unlabeled target domain.
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.
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, 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 • 21 Aug 2021 • Han Sun, Yetong Bian, Ningzhong Liu, Huiyu Zhou
Deep-learning based salient object detection methods achieve great improvements.
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.