Search Results for author: Chunping Qiu

Found 6 papers, 3 papers with code

MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification

no code implementations17 Sep 2023 Junjie Zhu, Yiying Li, Chunping Qiu, Ke Yang, Naiyang Guan, Xiaodong Yi

In order to tackle these issues, we turn to the recently proposed parameter-efficient tuning methods, such as VPT, which updates only the newly added prompt parameters while keeping the pre-trained backbone frozen.

Data Augmentation Domain Adaptation +3

Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges

no code implementations1 Jun 2023 Anzhu Yu, Wenjun Huang, Qing Xu, Qun Sun, Wenyue Guo, Song Ji, Bowei Wen, Chunping Qiu

The deep learning, which is a dominating technique in artificial intelligence, has completely changed the image understanding over the past decade.

Image Segmentation Semantic Segmentation

Multi-task Learning for Human Settlement Extent Regression and Local Climate Zone Classification

no code implementations23 Nov 2020 Chunping Qiu, Lukas Liebel, Lloyd H. Hughes, Michael Schmitt, Marco Körner, Xiao Xiang Zhu

Human Settlement Extent (HSE) and Local Climate Zone (LCZ) maps are both essential sources, e. g., for sustainable urban development and Urban Heat Island (UHI) studies.

Classification General Classification +2

Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset

1 code implementation16 May 2020 Chunping Qiu, Xiaochong Tong, Michael Schmitt, Benjamin Bechtel, Xiao Xiang Zhu

As a unique classification scheme for urban forms and functions, the local climate zone (LCZ) system provides essential general information for any studies related to urban environments, especially on a large scale.

Classification General Classification

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

1 code implementation19 Dec 2019 Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Häberle, Yuansheng Hua, Rong Huang, Lloyd Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang

This is especially true for an automated analysis of remote sensing images on a global scale, which enables us to address global challenges such as urbanization and climate change using state-of-the-art machine learning techniques.

BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction +1

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

2 code implementations18 Jun 2019 Michael Schmitt, Lloyd Haydn Hughes, Chunping Qiu, Xiao Xiang Zhu

The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from multi-sensor remote sensing imagery.

Cloud Computing Scene Classification +1

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