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The recently proposed MaskFormer gives a refreshed perspective on the task of semantic segmentation: it shifts from the popular pixel-level classification paradigm to a mask-level classification method.
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I. Loshchilov and F. Hutter, “Decoupled weight decay regularization,” International Conference on Learning Representations (ICLR) , 2019
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C. Yin, J. Tang, T. Yuan, Z. Xu, and Y. Wang, “Bridging the gap between semantic segmentation and instance segmentation,” IEEE Transactions on Multimedia , pp. 1–1, 2021
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J. Liu, J. He, J. Zhang, J. S. Ren, and H. Li, “EfficientFCN: Holistically-guided decoding for semantic segmentation,” in European Conference on Computer Vision . Springer, 2020, pp. 1–17
2020
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N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, and S. Zagoruyko, “End-to-end object detection with transformers,” in The European Conference on Computer Vision (ECCV) , 2020
2020
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X. Zhu, W. Su, L. Lu, B. Li, X. Wang, and J. Dai, “Deformable detr: Deformable transformers for end-to-end object detection,” in International Conference on Learning Representations (ICLR) , 2020
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M. Contributors, “MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark,” https://github.com/open-mmlab/mmsegmentation , 2020
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2020
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X. Li, A. You, Z. Zhu, H. Zhao, M. Yang, K. Yang, S. Tan, and Y. Tong, “Semantic flow for fast and accurate scene parsing,” in European Conference on Computer Vision . Springer, 2020, pp. 775–793
2020
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H. Wang, Y. Zhu, H. Adam, A. Yuille, and L.-C. Chen, “MaX-DeepLab: End-to-end panoptic segmentation with mask transformers,” in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2021
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2021
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H. Ding, H. Zhang, J. Liu, J. Li, Z. Feng, and X. Jiang, “Interaction via bi-directional graph of semantic region affinity for scene parsing,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , October 2021, pp. 15 848–15 858
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2021
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C. Deng, M. Wang, L. Liu, Y. Liu, and Y. Jiang, “Extended feature pyramid network for small object detection,” IEEE Transactions on Multimedia , vol. 24, pp. 1968–1979, 2022
2022
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Z. Li, W. Wang, E. Xie, Z. Yu, A. Anandkumar, J. M. Alvarez, P. Luo, and T. Lu, “Panoptic segformer: Delving deeper into panoptic segmentation with transformers,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2022, pp. 1280–1289
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G. Gao, G. Xu, J. Li, Y. Yu, H. Lu, and J. Yang, “Fbsnet: A fast bilateral symmetrical network for real-time semantic segmentation,” IEEE Transactions on Multimedia , 2022
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B. Cheng, I. Misra, A. G. Schwing, A. Kirillov, and R. Girdhar, “Masked-attention mask transformer for universal image segmentation,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2022, pp. 1290–1299
2022
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