Search Results for author: Yuxin Tian

Found 17 papers, 5 papers with code

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model

no code implementations13 Mar 2024 Yuxin Tian, Mouxing Yang, Yunfan Li, Dayiheng Liu, Xingzhang Ren, Xi Peng, Jiancheng Lv

A natural expectation for PEFTs is that the performance of various PEFTs is positively related to the data size and fine-tunable parameter size.

Federated cINN Clustering for Accurate Clustered Federated Learning

no code implementations4 Sep 2023 Yuhao Zhou, Minjia Shi, Yuxin Tian, Yuanxi Li, Qing Ye, Jiancheng Lv

However, a significant challenge arises when coordinating FL with crowd intelligence which diverse client groups possess disparate objectives due to data heterogeneity or distinct tasks.

Clustering Federated Learning +1

Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace

no code implementations21 Feb 2023 Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash

In this paper we presents Que2Engage, a search EBR system built towards bridging the gap between retrieval and ranking for end-to-end optimizations.


DeFTA: A Plug-and-Play Decentralized Replacement for FedAvg

no code implementations6 Apr 2022 Yuhao Zhou, Minjia Shi, Yuxin Tian, Qing Ye, Jiancheng Lv

Federated learning (FL) is identified as a crucial enabler for large-scale distributed machine learning (ML) without the need for local raw dataset sharing, substantially reducing privacy concerns and alleviating the isolated data problem.

Federated Learning

Image Search with Text Feedback by Additive Attention Compositional Learning

no code implementations8 Mar 2022 Yuxin Tian, Shawn Newsam, Kofi Boakye

Effective image retrieval with text feedback stands to impact a range of real-world applications, such as e-commerce.

Image Retrieval Retrieval

Hierarchical Segment-based Optimization for SLAM

no code implementations7 Nov 2021 Yuxin Tian, Yujie Wang, Ming Ouyang, Xuesong Shi

This paper presents a hierarchical segment-based optimization method for Simultaneous Localization and Mapping (SLAM) system.

Segmentation Simultaneous Localization and Mapping

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

no code implementations ICCV 2021 Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha

We introduce an experience replay approach to tackle an exemplary task of continual neural mapping: approximating a continuous signed distance function (SDF) from sequential depth images as a scene geometry representation.

Continual Learning

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation

no code implementations24 Jun 2021 Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam

Neural network-based semantic segmentation has achieved remarkable results when large amounts of annotated data are available, that is, in the supervised case.

Neural Architecture Search Semantic Segmentation +1

Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments

no code implementations18 Mar 2021 Yuxin Tian, Jinyu Miao, Xingming Wu, Haosong Yue, Zhong Liu, Weihai Chen

In this paper, we address the challenges of place recognition due to dynamics and confusable patterns by proposing a discriminative and semantic feature selection network, dubbed as DSFeat.

feature selection Visual Place Recognition

RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization

1 code implementation1 Dec 2020 Dongjiang Li, Jinyu Miao, Xuesong Shi, Yuxin Tian, Qiwei Long, Tianyu Cai, Ping Guo, Hongfei Yu, Wei Yang, Haosong Yue, Qi Wei, Fei Qiao

Experimental results show that the proposed RaP-Net trained with OpenLORIS-Location dataset achieves excellent performance in the feature matching task and significantly outperforms state-of-the-arts feature algorithms in indoor localization.

Indoor Localization Visual Localization

iffDetector: Inference-aware Feature Filtering for Object Detection

1 code implementation23 Jun 2020 Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, Guodong Guo, David Doermann

In this paper, we propose a new feature optimization approach to enhance features and suppress background noise in both the training and inference stages.

Object object-detection +1

Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling

no code implementations23 Dec 2019 Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam

Inspired by this, we investigate methods to inform or guide deep learning models for geospatial image analysis to increase their performance when a limited amount of training data is available or when they are applied to scenarios other than which they were trained on.

Image Segmentation Semantic Segmentation

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