Wang, Yabiao

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Zheng, S., Lu, J., Zhao, H., Zhu, X., Luo, Z., Wang, Y., Fu, Y., Feng, J., Xiang, T., Torr, P. H. S., et al. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

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Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Zheng, S., Lu, J., Zhao, H., Zhu, X., Luo, Z., Wang, Y., Fu, Y., Feng, J., Xiang, T., Torr, P. H. S., et al. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 4,004

Multimodal Industrial Anomaly Detection via Hybrid Fusion

Wang, Y., Peng, J., Zhang, J., Yi, R., Wang, Y., & Wang, C. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Industrial Vision Systems and Defect DetectionAnomaly Detection Techniques and Applications

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Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling

Zhang, B., Li, Y., Tu, Y., Peng, J., Wang, Y., Wu, C., Xiao, Y., & Zhao, C. (2023) · Lecture Notes in Computer Science

Machine Learning and Data ClassificationAdversarial Robustness in Machine Learning

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