Search Results for author: Han Sun

Found 19 papers, 13 papers with code

Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions

no code implementations6 Jun 2024 Han Sun, Kevin Ammann, Stylianos Giannoulakis, Olga Fink

Fault detection is crucial in industrial systems to prevent failures and optimize performance by distinguishing abnormal from normal operating conditions.

Anomaly Detection Domain Adaptation +2

CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework

no code implementations3 Jun 2024 Han Sun, Yunkang Cao, Olga Fink

Visual anomaly detection (AD) inherently faces significant challenges due to the scarcity of anomalous data.

Anomaly Detection Image Generation

Analytic Federated Learning

1 code implementation25 May 2024 Huiping Zhuang, Run He, Kai Tong, Di Fang, Han Sun, Haoran Li, Tianyi Chen, Ziqian Zeng

In this paper, we introduce analytic federated learning (AFL), a new training paradigm that brings analytical (i. e., closed-form) solutions to the federated learning (FL) community.

Federated Learning

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization

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.

Contrastive Learning Domain Generalization

SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation

1 code implementation13 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.

Self-Supervised Learning Source-Free Domain Adaptation

FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection

1 code implementation21 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.

3D Object Detection Autonomous Driving +1

Prompting Diffusion Representations for Cross-Domain Semantic Segmentation

no code implementations5 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.

Domain Generalization Image Generation +2

SF-FSDA: Source-Free Few-Shot Domain Adaptive Object Detection with Efficient Labeled Data Factory

no code implementations7 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.

Object object-detection +2

A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning

1 code implementation22 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.

Few-Shot Learning

Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation

1 code implementation14 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.

Clustering Source-Free Domain Adaptation +1

MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection

1 code implementation19 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.

Autonomous Driving Depth Estimation +4

Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition

no code implementations21 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.

Action Recognition Privacy Preserving +1

Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images

1 code implementation5 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.

object-detection Object Detection +2

A lightweight multi-scale context network for salient object detection in optical remote sensing images

1 code implementation18 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.

object-detection Object Detection +1

Robust Ensembling Network for Unsupervised Domain Adaptation

1 code implementation21 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.

Unsupervised Domain Adaptation

MPI: Multi-receptive and Parallel Integration for Salient Object Detection

1 code implementation8 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.

Object object-detection +2

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