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Jan 24, 2024 · To address this issue, this article proposes a self-supervised transformer with feature fusion (STFF) for the semantic segmentation of SAR ...
Oct 4, 2023 · To address this issue, this article proposes a self-supervised transformer with feature fusion (STFF) for the semantic segmentation of SAR ...
Oct 13, 2023 · To address this issue, this article proposes a self-supervised transformer with feature fusion (STFF) for the semantic segmentation of. SAR ...
Jianlin Zhou's 4 research works with 20 citations, including: Unsupervised Mutual Information and Superpixel Constraints in SAR Marine Aquaculture ...
Jun 25, 2024 · Fan et al. A Self-Supervised Transformer With Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring. IEEE Trans ...
A Self-Supervised Transformer With Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring. IEEE Trans. Geosci. Remote. Sens. 61 ...
Jul 4, 2024 · This method leverages the training of a Generative Adversarial Network (GAN) to directly achieve focus on CSAR sub-aperture images. Additionally ...
Semantic segmentation of SAR images using a self supervised technique ... EDFT -> Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation.
ST-MDAMNet: Swin transformer combines multi-dimensional attention mechanism for semantic segmentation of high-resolution earth surface images.
TransUNet: TransUNet [42] is a transformer-based architecture for semantic segmentation that combines the strengths of both transformers and convolutional ...