Image semantic segmentation is one of the most important tasks in the field of computer vision, and it has made great progress in many applications. Many fully supervised deep learning models are designed to implement complex semantic segmentation tasks and the experimental results are remarkable. ...
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali Ce´line Hudelot Myriam Tami Universite´ Paris-Saclay, CentraleSupe´lec, MICS, 91190, Gif-sur-Yvette, France. {yassine.ouali,celine.hudelot,myriam.tami}@centralesupelec.fr Abstract...
Semantic Segmentation with Active Semi-Supervised Learning Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman Rochester Institute of Technology Rochester, NY, USA aneesh.rangnekar@mail.rit.edu Abstract Using deep learning, we now have the ability to create exceptionally good se...
A survey on semi-supervised learning MixMatch: A Holistic Approach to Semi-Supervised Learning Adversarial Learning for Semi-Supervised Semantic Segmentation Adversarial Feature Distribution Alignment for Semi-Supervised Learning Semi Supervised Semantic Segmentation Using Generative Adversarial Network Semi-Supervis...
Yang L, Qi L, Feng L, Zhang W, Shi Y (2023) Revisiting weak-to-strong consistency in semi-supervised semantic segmentation. In: CVPR, pp 1–13 Lee D-H (2013) Pseudo-label: the simple and efficient semi-supervised learning method for deep neural networks. In: ICML Workshop, pp 1–...
To address these challenges, we propose a semi-supervised approach for KIE with Class-Rebalancing and Merged Semantic Pseudo-Labeling (CRMSP). Firstly, to augment the model’s attention towards tail classes, we introduce the Class-Rebalancing Pseudo-Labeling (CRP) module that enhances the weight ...
Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation A comprehensive overview on deep semi-supervised medical image segmentation.Summarizing both the technical innovations and empirical findings.Discussing li... R Jiao,Y Zhang,L Ding,... - 《...
来自 Semantic Scholar 喜欢 0 阅读量: 36 作者: C Yu 摘要: Semi-supervised learning has been widely used in the world and become a hot topic in the research field of machine learning and pattern recognition.The paper summarizes the basic assumption,the research situation at present,and the ...
Semi-supervised semantic segmentation with cross-consistency training. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 12671–12681, 2020. Ke, Z. H.; Qiu, D.; Li, K. C.; Yan, Q.; Lau, R. W. H. Guided collaborative training for pixel-wise semi-...
Xin, Y., Fan, Z., Qi, X., Geng, Y., Li, X.: Enhancing semi-supervised semantic segmentation of remote sensing images via feature perturbation-based consistency regularization methods. Sensors 24(3), 730 (2024) Article Google Scholar Sichtermann, T., Faron, A., Sijben, R., Teichert...