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Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark

  • Published:2023-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • language:
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Author:

Ji Deyi1,Zhao Feng1,Lu Hongtao2,Tao Mingyuan3,Ye Jieping3

Affiliation:

1. University of Science and Technology of China

2. Shanghai Jiao Tong University,Department of Computer Science and Engineering

3. Alibaba Group

Funder

National Key R&D Program of China

Anhui Provincial Natural Science Foundation

NSFC

Shanghai Municipal Science and Technology Major Project, China (2021)

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient visual anomaly detection model with adaptive wavelet transform;Optics and Lasers in Engineering;2024-11

2. RSDNet: Res-CBAM-enhanced integration of shallow and deep networks for ultra-high-resolution image segmentation;International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024);2024-06-21

3. Changenet: Multi-Temporal Asymmetric Change Detection Dataset;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Road-SAM: Adapting the Segment Anything Model to Road Extraction From Large Very-High-Resolution Optical Remote Sensing Images;IEEE Geoscience and Remote Sensing Letters;2024

5. An Efficient and Light Transformer-Based Segmentation Network for Remote Sensing Images of Landscapes;Forests;2023-11-20
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