Search Results for author: Yunsong Li

Found 36 papers, 23 papers with code

Domain Adaptation for Large-Vocabulary Object Detectors

no code implementations13 Jan 2024 Kai Jiang, Jiaxing Huang, Weiying Xie, Yunsong Li, Ling Shao, Shijian Lu

Large-vocabulary object detectors (LVDs) aim to detect objects of many categories, which learn super objectness features and can locate objects accurately while applied to various downstream data.

Domain Adaptation Knowledge Graphs +2

Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR Classification

1 code implementation6 Jan 2024 Jiaqing Zhang, Jie Lei, Weiying Xie, Geng Yang, Daixun Li, Yunsong Li

Additionally, the information distribution flow (IDF) in MIVit enhances performance-awareness by distributing global classification information across different modalities' feature maps.

Land Cover Classification

Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image

1 code implementation6 Jan 2024 Jiaqing Zhang, Jie Lei, Weiying Xie, Kai Jiang, Mingxiang Cao, Yunsong Li

Accurate cloud recognition and warning are crucial for various applications, including in-flight support, weather forecasting, and climate research.

Domain Adaptation Specificity +1

Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector

no code implementations2 Jan 2024 Jitao Ma, Weiying Xie, Yunsong Li

Our method provides a new solution space for HAD that is closer to human visual perception with high confidence.

Anomaly Detection Knowledge Distillation

RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation

no code implementations29 Dec 2023 Weiying Xie, Zixuan Wang, Jitao Ma, Daixun Li, Yunsong Li

The key component of RS-DGC is a Neighborhood Statistical Indicator (NSI), which can quantify the importance of gradients within a specified neighborhood on each node to sparsify the local gradients before gradient transmission in each iteration.

Earth Observation

Physics Inspired Criterion for Pruning-Quantization Joint Learning

1 code implementation1 Dec 2023 Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Jie Lei, Leyuan Fang

Pruning-quantization joint learning always facilitates the deployment of deep neural networks (DNNs) on resource-constrained edge devices.

Image Classification Model Compression +1

Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning

no code implementations22 Nov 2023 Xin Zhang, Jiawei Du, Yunsong Li, Weiying Xie, Joey Tianyi Zhou

Dataset pruning aims to construct a coreset capable of achieving performance comparable to the original, full dataset.

Classification

FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion

1 code implementation16 Nov 2023 Daixun Li, Weiying Xie, Yunsong Li, Leyuan Fang

Multi-satellite, multi-modality in-orbit fusion is a challenging task as it explores the fusion representation of complex high-dimensional data under limited computational resources.

Edge-computing Federated Learning

MDFL: Multi-domain Diffusion-driven Feature Learning

no code implementations16 Nov 2023 Daixun Li, Weiying Xie, Jiaqing Zhang, Yunsong Li

High-dimensional images, known for their rich semantic information, are widely applied in remote sensing and other fields.

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

no code implementations16 Nov 2023 Daixun Li, Weiying Xie, Zixuan Wang, YiBing Lu, Yunsong Li, Leyuan Fang

With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land cover classification tasks.

Denoising Federated Learning +2

BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection

1 code implementation19 Jul 2023 Jitao Ma, Weiying Xie, Yunsong Li, Leyuan Fang

We present a novel solution BSDM (background suppression diffusion model) for HAD, which can simultaneously learn latent background distributions and generalize to different datasets for suppressing complex background.

Anomaly Detection Denoising +1

Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network

no code implementations7 Jul 2023 Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li

In this study, we address the emerging necessity of converting Standard Dynamic Range Television (SDRTV) content into High Dynamic Range Television (HDRTV) in light of the limited number of native HDRTV content.

inverse tone mapping Inverse-Tone-Mapping +2

SAR-to-Optical Image Translation via Thermodynamics-inspired Network

no code implementations23 May 2023 Mingjin Zhang, Jiamin Xu, Chengyu He, Wenteng Shang, Yunsong Li, Xinbo Gao

Synthetic aperture radar (SAR) is prevalent in the remote sensing field but is difficult to interpret in human visual perception.

Translation

Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank

1 code implementation CVPR 2023 Shirui Huang, Keyan Wang, Huan Liu, Jun Chen, Yunsong Li

Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress.

NR-IQA Underwater Image Restoration

Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution

1 code implementation CVPR 2023 Weiying Xie, Kai Jiang, Yunsong Li, Jie Lei, Leyuan Fang, Wen-jin Guo

Specifically, we create a positive cycle between fusion and degradation estimation under a new probabilistic framework.

Super-Resolution

Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching

1 code implementation31 Dec 2022 Jiaqing Zhang, Jie Lei, Weiying Xie, Yunsong Li, Xiuping Jia

More concretely, we first design a structure called guided quantization self-distillation (GQSD), which is an innovative idea for realizing lightweight through the synergy of quantization and distillation.

object-detection Object Detection +1

SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery

1 code implementation27 Sep 2022 Jiaqing Zhang, Jie Lei, Weiying Xie, Zhenman Fang, Yunsong Li, Qian Du

Furthermore, we design a simple and flexible SR branch to learn HR feature representations that can discriminate small objects from vast backgrounds with low-resolution (LR) input, thus further improving the detection accuracy.

Real-Time Object Detection Small Object Detection +1

Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification

1 code implementation journal 2022 Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Danfeng Hong, Jocelyn Chanussot.

Recently, embedding and metric-based few-shot learning (FSL) has been introduced into hyperspectral image classification (HSIC) and achieved impressive progress.

Few-Shot Learning Hyperspectral Image Classification

HPRN: Holistic Prior-embedded Relation Network for Spectral Super-Resolution

1 code implementation29 Dec 2021 Chaoxiong Wu, Jiaojiao Li, Rui Song, Yunsong Li, Qian Du

Spectral super-resolution (SSR) refers to the hyperspectral image (HSI) recovery from an RGB counterpart.

Relation Relation Network +2

Transcoded Video Restoration by Temporal Spatial Auxiliary Network

1 code implementation15 Dec 2021 Li Xu, Gang He, Jinjia Zhou, Jie Lei, Weiying Xie, Yunsong Li, Yu-Wing Tai

In most video platforms, such as Youtube, and TikTok, the played videos usually have undergone multiple video encodings such as hardware encoding by recording devices, software encoding by video editing apps, and single/multiple video transcoding by video application servers.

Video Editing Video Restoration

Sparse Coding-inspired GAN for Weakly Supervised Hyperspectral Anomaly Detection

no code implementations1 Jan 2021 Tao Jiang, Weiying Xie, Jie Lei, Yunsong Li, Zan Li

For solving these problems, this paper proposes a sparse coding-inspired generative adversarial network (GAN) for weakly supervised HAD, named sparseHAD.

Anomaly Detection Generative Adversarial Network +1

MCM-aware Twin-least-square GAN for Hyperspectral Anomaly Detection

no code implementations1 Jan 2021 Jiaping Zhong, Weiying Xie, Jie Lei, Yunsong Li, Zan Li

Hyperspectral anomaly detection under high-dimensional data and interference of deteriorated bands without any prior information has been challenging and attracted close attention in the exploration of the unknown in real scenarios.

Anomaly Detection Generative Adversarial Network

Multi-direction Networks with Attentional Spectral Prior for Hyperspectral Image Classification

1 code implementation11 Dec 2020 Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yuchao Xiao, Yanzi Shi, Qian Du.

Convolutional neural networks (CNNs) have achieved prominent progress in recent years and demonstrated remarkable properties in spectral-spatial hyperspectral image (HSI) classification.

General Classification Hyperspectral Image Classification

Multiscale Context-Aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification

1 code implementation22 Sep 2020 Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Weiwei Sun, Qian Du.

Recently, multiscale spatial features have been widely utilized to improve the hyperspectral image (HSI) classification performance.

Computational Efficiency General Classification +1

Deep Prototypical Networks with Hybrid Residual Attention for Hyperspectral Image Classification

1 code implementation25 Jun 2020 Bobo Xi, Jiaojiao Li, Yunsong Li, Rui Song, Yanzi Shi, Songlin Liu, Qian Du

Recently, convolutional neural networks (CNNs) have attracted enormous attention in pattern recognition and demonstrated excellent performance in hyperspectral image (HSI) classification.

Classification General Classification +1

AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images

1 code implementation19 May 2020 Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu

Recent promising effort for spectral reconstruction (SR) focuses on learning a complicated mapping through using a deeper and wider convolutional neural networks (CNNs).

Spectral Reconstruction

Robust Interpolation of Correspondences for Large Displacement Optical Flow

1 code implementation CVPR 2017 Yinlin Hu, Yunsong Li, Rui Song

In this paper, we present a Robust Interpolation method of Correspondences (called RicFlow) to overcome the weakness.

Optical Flow Estimation Superpixels

Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow

1 code implementation CVPR 2016 Yinlin Hu, Rui Song, Yunsong Li

Inspired by the nearest neighbor field (NNF) algorithms, our approach, called CPM (Coarse-to-fine PatchMatch), blends an efficient random search strategy with the coarse-to-fine scheme for optical flow problem.

Optical Flow Estimation

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