Wei Wang
Orcid: 0000-0002-8770-3862Affiliations:
- Zhengzhou University of Light Industry, Zhengzhou, China
According to our database1,
Wei Wang
authored at least 14 papers
between 2019 and 2023.
Collaborative distances:
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Bibliography
2023
Semantic segmentation guided pseudo label mining and instance re-detection for weakly supervised object detection in remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, May, 2023
Remote. Sens., March, 2023
IEEE Trans. Multim., 2023
Building a Bridge of Bounding Box Regression Between Oriented and Horizontal Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Mining High-Quality Pseudoinstance Soft Labels for Weakly Supervised Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023
Multiscale Image Splitting Based Feature Enhancement and Instance Difficulty Aware Training for Weakly Supervised Object Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Multiple Instance Complementary Detection and Difficulty Evaluation for Weakly Supervised Object Detection in Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
Incorporating the Completeness and Difficulty of Proposals Into Weakly Supervised Object Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
2021
A Novel Color Image Encryption Algorithm Based on Three-Dimensional Chaotic Maps and Reconstruction Techniques.
IEEE Access, 2021
2020
Generating and Sifting Pseudolabeled Samples for Improving the Performance of Remote Sensing Image Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Object Detection in Remote Sensing Images Based on Improved Bounding Box Regression and Multi-Level Features Fusion.
Remote. Sens., 2020
Micro-cracks detection of solar cells surface via combining short-term and long-term deep features.
Neural Networks, 2020
2019
Hardness Recognition of Robotic Forearm Based on Semi-supervised Generative Adversarial Networks.
Frontiers Neurorobotics, 2019
Establishment of a deep learning network based on feature extraction and its application in gearbox fault diagnosis.
Artif. Intell. Rev., 2019