Search Results for author: Keyan Chen

Found 21 papers, 15 papers with code

CDMamba: Remote Sensing Image Change Detection with Mamba

no code implementations6 Jun 2024 Haotian Zhang, Keyan Chen, Chenyang Liu, Hao Chen, Zhengxia Zou, Zhenwei Shi

Specifically, the Scaled Residual ConvMamba (SRCM) block is proposed to utilize the ability of Mamba to extract global features and convolution to enhance the local details, to alleviate the issue that current Mamba-based methods lack detailed clues and are difficult to achieve fine detection in dense prediction tasks.

Change Detection

RSCaMa: Remote Sensing Image Change Captioning with State Space Model

1 code implementation29 Apr 2024 Chenyang Liu, Keyan Chen, Bowen Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi

In terms of efficient temporal modeling, considering the potential correlation between the temporal scanning characteristics of Mamba and the temporality of the RSICC, we propose the Temporal-Traversing SSM (TT-SSM), which scans bi-temporal features in a temporal cross-wise manner, enhancing the model's temporal understanding and information interaction.


MarsSeg: Mars Surface Semantic Segmentation with Multi-level Extractor and Connector

no code implementations5 Apr 2024 Junbo Li, Keyan Chen, Gengju Tian, Lu Li, Zhenwei Shi

The Mini-ASPP and PSA are specifically designed for shadow feature enhancement, thereby enabling the expression of local details and small objects.

Decoder Segmentation +2

Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis

1 code implementation28 Mar 2024 Chenyang Liu, Keyan Chen, Haotian Zhang, Zipeng Qi, Zhengxia Zou, Zhenwei Shi

The Change-Agent integrates a multi-level change interpretation (MCI) model as the eyes and a large language model (LLM) as the brain.

Change Detection Language Modelling +2

RSMamba: Remote Sensing Image Classification with State Space Model

1 code implementation28 Mar 2024 Keyan Chen, Bowen Chen, Chenyang Liu, Wenyuan Li, Zhengxia Zou, Zhenwei Shi

Remote sensing image classification forms the foundation of various understanding tasks, serving a crucial function in remote sensing image interpretation.

Classification Image Classification +2

Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method

no code implementations22 Jan 2024 Zili Liu, Hao Chen, Lei Bai, Wenyuan Li, Keyan Chen, Zhengyi Wang, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi

In this paper, we extend meteorological downscaling to arbitrary scattered station scales, establish a brand new benchmark and dataset, and retrieve meteorological states at any given station location from a coarse-resolution meteorological field.

Super-Resolution Weather Forecasting

Learning to detect cloud and snow in remote sensing images from noisy labels

no code implementations17 Jan 2024 Zili Liu, Hao Chen, Wenyuan Li, Keyan Chen, Zipeng Qi, Chenyang Liu, Zhengxia Zou, Zhenwei Shi

This paper is the first to consider the impact of label noise on the detection of clouds and snow in remote sensing images.

Semantic Segmentation

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling

1 code implementation4 Jan 2024 Wenyuan Li, Zili Liu, Keyan Chen, Hao Chen, Shunlin Liang, Zhengxia Zou, Zhenwei Shi

Next, we construct hyper-networks based on deep learning methods to directly learn weather patterns from a large amount of meteorological data.

Weather Forecasting

Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioning

no code implementations23 Dec 2023 Chenyang Liu, Keyan Chen, Zipeng Qi, Haotian Zhang, Zhengxia Zou, Zhenwei Shi

The existing methods for Remote Sensing Image Change Captioning (RSICC) perform well in simple scenes but exhibit poorer performance in complex scenes.

Change Detection Pseudo Label

Zero-Shot Image Harmonization with Generative Model Prior

1 code implementation17 Jul 2023 Jianqi Chen, Yilan Zhang, Zhengxia Zou, Keyan Chen, Zhenwei Shi

Initially, we employ a pretrained vision-language model (VLM) to generate descriptions for the composite image.

Image Harmonization Language Modelling

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model

1 code implementation28 Jun 2023 Keyan Chen, Chenyang Liu, Hao Chen, Haotian Zhang, Wenyuan Li, Zhengxia Zou, Zhenwei Shi

We also propose several ongoing derivatives for instance segmentation tasks, drawing on recent advancements within the SAM community, and compare their performance with RSPrompter.

Image Segmentation Instance Segmentation +2

Continuous Cross-resolution Remote Sensing Image Change Detection

1 code implementation24 May 2023 Hao Chen, Haotian Zhang, Keyan Chen, Chenyao Zhou, Song Chen, Zhengxia Zou, Zhenwei Shi

Toward continuous cross-resolution CD, we propose scale-invariant learning to enforce the model consistently predicting HR results given synthesized samples of varying resolution differences.

Change Detection

Dense Pixel-to-Pixel Harmonization via Continuous Image Representation

1 code implementation3 Mar 2023 Jianqi Chen, Yilan Zhang, Zhengxia Zou, Keyan Chen, Zhenwei Shi

High-resolution (HR) image harmonization is of great significance in real-world applications such as image synthesis and image editing.

Image Harmonization

Continuous Remote Sensing Image Super-Resolution based on Context Interaction in Implicit Function Space

1 code implementation16 Feb 2023 Keyan Chen, Wenyuan Li, Sen Lei, Jianqi Chen, XiaoLong Jiang, Zhengxia Zou, Zhenwei Shi

Despite its fruitful applications in remote sensing, image super-resolution is troublesome to train and deploy as it handles different resolution magnifications with separate models.

Image Super-Resolution

OvarNet: Towards Open-vocabulary Object Attribute Recognition

1 code implementation CVPR 2023 Keyan Chen, XiaoLong Jiang, Yao Hu, Xu Tang, Yan Gao, Jianqi Chen, Weidi Xie

In this paper, we consider the problem of simultaneously detecting objects and inferring their visual attributes in an image, even for those with no manual annotations provided at the training stage, resembling an open-vocabulary scenario.

 Ranked #1 on Open Vocabulary Attribute Detection on OVAD benchmark (using extra training data)

Attribute Knowledge Distillation +5

Geographical Knowledge-driven Representation Learning for Remote Sensing Images

1 code implementation12 Jul 2021 Wenyuan Li, Keyan Chen, Hao Chen, Zhenwei Shi

The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images.

object-detection Object Detection +3

Object Detection in 20 Years: A Survey

1 code implementation13 May 2019 Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye

Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years.

Face Detection Object +3

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