MECPformer: multi-estimations complementary patch with CNN-transformers for weakly supervised semantic segmentation
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08816-2.pdf
Reference76 articles.
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2. Weng X, Yan Y, Chen S, Xue J-H, Wang H (2021) Stage-aware feature alignment network for real-time semantic segmentation of street scenes. IEEE Trans Circ Syst Video Technol 32(7):4444–4459
3. Lee J, Yi J, Shin C, Yoon S (2021) Bbam: bounding box attribution map for weakly supervised semantic and instance segmentation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 2643–2652
4. Lin D, Dai J, Jia J, He K, Sun J (2016) Scribblesup: scribble-supervised convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 3159–3167
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1. PCSformer: Pair-wise Cross-scale Sub-prototypes mining with CNN-transformers for weakly supervised semantic segmentation;Neurocomputing;2024-08
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